China Models
| DeepSeek-V3 DeepSeek-V3 is an open-weight mixture-of-experts language model that DeepSeek released in December 2024. Each token uses 37 billion of its 671 billion parameters, and DeepSeek describes its chat model as comparable to leading closed-source systems. | |
| DeepSeek-R1 DeepSeek-R1 is an open-weight reasoning model that DeepSeek released on 20 January 2025. Built on DeepSeek-V3-Base and trained with reinforcement learning, it is released under the MIT License, which allows commercial use and distillation. | |
| Qwen3 Qwen3 is a family of large language models from Alibaba, released on 29 April 2025 under Apache 2.0. Its main feature is hybrid thinking, which lets one model reason step by step or answer directly. | |
| Kimi K2 Kimi K2 is an open-weight mixture-of-experts language model from Moonshot AI, released in July 2025 with 1 trillion total parameters, 32 billion active per token and a 128K-token context. | |
| Seedance 2.0 ByteDance's video generation model released in February 2026, built to produce picture and sound together from text, image, audio or video inputs, and known for a copyright dispute that paused its global rollout. | |
| DeepSeek-V4 (V4-Pro and V4-Flash) DeepSeek-V4, released in preview on 24 April 2026, comprises V4-Pro and V4-Flash, two open mixture-of-experts models with a 1M-token context. Its architecture targets long-context efficiency, and its later releases extended the series with agent upgrades and multimodal input. | |
| Kimi K3 Kimi K3 is a 2.8-trillion-parameter open-weight multimodal model from Moonshot AI, released on 16 July 2026 with weights following on 27 July under the Kimi K3 License. | |
| ERNIE 1.0 Baidu's first ERNIE pre-trained language model, released in March 2019, added entity- and phrase-level masking to BERT-style pre-training and reported state-of-the-art results on five Chinese NLP tasks. | |
| ERNIE 3.0 ERNIE 3.0 is a 10-billion-parameter pre-trained language model from 2021 that trains on plain text plus a large-scale knowledge graph and fuses auto-encoding and auto-regressive networks, so one model handles both language understanding and generation. | |
| GLM-130B GLM-130B is a 130-billion-parameter open bilingual Chinese–English dense language model from Tsinghua University's KEG group and Zhipu AI, built to give researchers an open model that matches GPT-3 at the hundred-billion scale. | |
| ChatGLM-6B An open bilingual chat model from Zhipu AI and Tsinghua KEG with about 6.2 billion parameters, small enough to run on one consumer GPU, with weights fully open for research. | |
| SenseNova SenseNova is SenseTime's family of foundation models, unveiled on 10 April 2023 with a chatbot, an image generator and an avatar video generator, first offered to government and corporate clients rather than the public. | |
| iFlytek Spark (V1.0) SparkDesk is iFlytek's cognitive large model, unveiled on 6 May 2023 as the company's answer to ChatGPT in education and enterprise uses, built on Huawei Ascend chips and followed by rapid version updates through 2024. | |
| Pangu-Weather Pangu-Weather is a three-dimensional deep-learning model for medium-range global weather forecasting, published in Nature in 2023; on reanalysis data it produced stronger forecasts than ECMWF's operational system across all tested variables. | |
| Qwen (Tongyi Qianwen, 2023) Qwen, known in Chinese as Tongyi Qianwen (通义千问), is Alibaba's family of large language models. Its first open-weight model, Qwen-7B, was released on 3 August 2023, and the family has grown through many later versions. | |
| Baichuan 2 Baichuan 2 is the second-generation open model family from Baichuan, released on 6 September 2023 in 7B and 13B sizes. Commercial use required an application and was limited by user numbers. | |
| Tencent Hunyuan Hunyuan is Tencent's first proprietary large foundation model, unveiled in September 2023 and offered to enterprises through Tencent Cloud. The line was later branded Hy. | |
| ERNIE 4.0 ERNIE 4.0 is Baidu's foundation model unveiled in October 2023, pitched as its most capable model and, in Robin Li's words, "not inferior in any aspect to GPT-4". It anchors Baidu's ERNIE Bot assistant and Qianfan platform. | |
| Yi-34B and Yi-6B Yi-34B and Yi-6B are open bilingual base models from 01.AI, released in November 2023 and trained on 3 trillion tokens. Yi-34B ranked first among open pre-trained models at launch. | |
| SenseNova 5.0 SenseNova 5.0 is SenseTime's large language model released in April 2024, built on a mixture-of-experts architecture with a roughly 200K-token context window, which the company positioned as matching or surpassing GPT-4 Turbo. | |
| DeepSeek-V2 DeepSeek-V2 is a mixture-of-experts language model released in May 2024 with 236B total parameters, of which 21B are activated per token. It introduced Multi-head Latent Attention and used DeepSeekMoE for economical sparse training. | |
| Yi-Large Yi-Large is a closed large language model with about one hundred billion parameters, released by 01.AI on 13 May 2024 and offered through its API platform; 01.AI reported top rankings for it on several public benchmarks. | |
| Doubao model family (Doubao Pro, 2024) ByteDance's Doubao model family, launched through Volcano Engine in May 2024, offered general-purpose, speech and image models at prices far below rivals, helping set off a price war among Chinese providers. | |
| Kling (1.0) Kling (可灵) 1.0 is Kuaishou's video generation model. Text-to-video opened for testing on 6 June 2024, and Kling could generate videos of up to two minutes at up to 1080p. | |
| Qwen2 Qwen2 is the Qwen family's June 2024 generation, with five sizes from 0.5B to 72B parameters, context lengths up to 128K tokens, and most sizes released under Apache 2.0. | |
| iFlytek Spark V4.0 iFlytek's large language model released on 27 June 2024 and trained entirely on a domestic platform co-built with Huawei; iFlytek presented it as reaching GPT-4 level while acknowledging weaker coding and multimodal abilities. | |
| Step-2 Step-2 is a trillion-parameter language model from StepFun built on a Mixture-of-Experts architecture. A preview appeared in March 2024; the official version launched at WAIC in July 2024. | |
| Qwen2.5 Qwen2.5 is the Qwen family's September 2024 generation. Its launch included 13 open-weight models, with up to 18 trillion pretraining tokens, 128K context and most models under Apache 2.0. | |
| Yi-Lightning Yi-Lightning is 01.AI's flagship model from October 2024, built on an enhanced Mixture-of-Experts design. It ranked sixth overall on the LMSYS Chatbot Arena at launch and first among Chinese models. | |
| Hunyuan-Large Hunyuan-Large is Tencent's open-weight mixture-of-experts model, with 389 billion total parameters and 52 billion activated, released in November 2024 under a Tencent license. | |
| HunyuanVideo HunyuanVideo is Tencent's open-source text-to-video generation model, with over 13 billion parameters, released in December 2024. Running it locally needs at least 60GB of GPU memory. | |
| MiniMax-01 (Text-01 and VL-01) MiniMax-01 is an open-weight model series released in January 2025. It includes the language model MiniMax-Text-01 and the vision-language model MiniMax-VL-01, and uses a hybrid attention design that supports very long context. | |
| iFlytek Spark X1 iFlytek Spark X1 is a Chinese deep-reasoning model released in January 2025 and trained entirely on domestic computing hardware, with later upgrades benchmarked against OpenAI's reasoning models. | |
| Kimi k1.5 Kimi k1.5 is a multimodal reasoning model released by Moonshot AI on 20 January 2025, which the company said matched OpenAI's o1 in mathematics, coding and multimodal reasoning and which was trained with reinforcement learning rather than tree search or process reward models. | |
| Doubao-1.5-pro Doubao-1.5-pro, released by ByteDance on 22 January 2025, is a closed multimodal model built on a sparse mixture-of-experts design. It was offered through Volcano Engine at low API prices. | |
| Qwen2.5-Max Qwen2.5-Max is Alibaba's large mixture-of-experts model, announced in January 2025. It was offered through Qwen Chat and the Alibaba Cloud API, and its weights were not released. | |
| Step-Video-T2V Step-Video-T2V is an open text-to-video model with 30 billion parameters. StepFun released its weights, code, a Turbo variant and a technical report under the MIT license on 17 February 2025. | |
| Wan2.1 Wan2.1 is Alibaba's open-source video generation model family, released on 25 February 2025 under Apache 2.0. It creates videos from text or images and can render Chinese and English text. | |
| Hunyuan Turbo S Hunyuan Turbo S is a fast-thinking model released by Tencent on 27 February 2025, built on a hybrid Mamba-Transformer design with 560 billion total parameters. Its weights were not released. | |
| Ling (Ling-Lite and Ling-Plus) Ling is a family of open-weight Mixture-of-Experts language models from Ant Group's InclusionAI, released with a technical report arguing that a 300B-scale MoE can be trained without premium GPUs. | |
| QwQ-32B A 32-billion-parameter open-weight reasoning model released by the Qwen team on 6 March 2025, trained mainly through scaled reinforcement learning and reported to perform comparably to the much larger DeepSeek-R1. | |
| AgiBot GO-1 (Genie Operator-1) A general-purpose embodied foundation model released by AgiBot on 10 March 2025, built on a Vision-Language-Latent-Action architecture. In the company's tests across five tasks it raised average success rate from 46% to 78%. | |
| ERNIE 4.5 ERNIE 4.5 is Baidu's native multimodal foundation model, released on 16 March 2025 and handling text, images, audio and video. In June 2025 Baidu open-sourced ten models from the family under the Apache License 2.0. | |
| ERNIE X1 ERNIE X1 is Baidu's deep-thinking reasoning model released on 16 March 2025 alongside ERNIE 4.5, notable for tool use, multimodal input and low pricing, and later followed by X1 Turbo and X1.1. | |
| Hunyuan-T1 Hunyuan-T1 is Tencent's deep-reasoning model, officially released on 21 March 2025 and built on the Hunyuan-TurboS base. Tencent did not release its weights. | |
| Seed-Thinking-v1.5 Seed-Thinking-v1.5 is a reasoning model from ByteDance Seed: a 20B-activated, 200B-total mixture-of-experts model trained with reinforcement learning to think before answering, published with a technical report and benchmark tables but no model weights. | |
| SenseNova V6 SenseTime's SenseNova V6 is a native mixture-of-experts multimodal foundation model with over 600 billion parameters, released on 10 April 2025 in general, reasoning and real-time interactive variants. | |
| Kling 2.0 Kling 2.0 is Kuaishou's AI video generator, launched globally in April 2025 and billed by the company as the world's most powerful, with a multimodal editing feature and the Multi-modal Visual Language concept. | |
| MiMo-7B MiMo-7B is a 7-billion-parameter reasoning model from Xiaomi's LLM-Core team, pre-trained on 25 trillion tokens and tuned with reinforcement learning on verifiable math and code problems, reported to surpass OpenAI o1-mini on several reasoning benchmarks. | |
| DeepSeek-R1-0528 An updated release of DeepSeek's open-weight reasoning model, published on 28 May 2025 under the MIT License, with markedly higher scores on competition math, science and coding benchmarks, plus system-prompt support and stronger function calling. | |
| MiniMax-M1 MiniMax-M1 is an open reasoning model released by MiniMax in June 2025. It has 456B total parameters, a native 1-million-token context and an Apache 2.0 license, and it comes in 40K and 80K thinking-budget versions. | |
| Seed1.6 (Doubao-Seed-1.6) ByteDance Seed's general-purpose model series, announced on 11 June 2025 as Doubao Large Model 1.6, combining multimodal input, a 256K context window and a mode that decides per prompt whether to reason before answering. | |
| Seedance 1.0 Seedance 1.0 is a video-generation model from ByteDance Seed, announced in June 2025. One model handles text-to-video and image-to-video, produces 1080p multi-shot clips, and ranked first on two Artificial Analysis leaderboards. | |
| GLM-4.5 and GLM-4.5-Air GLM-4.5 is Zhipu's open-weight language model, released in July 2025 with 355 billion total parameters and a lighter sibling, GLM-4.5-Air. Both are hybrid reasoning models released under the MIT License. | |
| Qwen3-2507 Qwen3-2507 is a staged 2025 refresh of the open-weight Qwen3 models that split thinking and non-thinking into separate checkpoints, raised native context to 262,144 tokens, and scored far above the original non-thinking mode on published benchmarks. | |
| Qwen3-Coder Qwen3-Coder is an open-weight family of coding models from the Qwen team; its flagship 480B-parameter model, announced in July 2025, was built and trained specifically for agentic coding tasks. | |
| Step 3 Step 3 is StepFun's open multimodal reasoning model, with 321 billion total parameters and 38 billion active per token. It was released in July 2025 and uses Apache 2.0. | |
| Seed-OSS-36B ByteDance Seed's open-weight 36-billion-parameter model family from August 2025, trained on 12 trillion tokens with a 512K-token context window and a user-settable thinking budget. | |
| DeepSeek-V3.1 DeepSeek-V3.1, released on 21 August 2025 under the MIT License, was DeepSeek's first hybrid model, supporting both a thinking mode and a non-thinking mode in one set of weights. It has 671 billion total parameters, with 37 billion activated per token. | |
| Qwen3-Max Qwen3-Max is Alibaba's proprietary trillion-parameter language model, released in September 2025 and served through Alibaba's API. It is the Max-tier flagship that followed Qwen2.5-Max. | |
| Qwen3-VL Qwen3-VL is Alibaba's open vision-language model family, released in September 2025 under Apache 2.0. Its 235B flagship handles long video, GUI operation and 2D and 3D grounding. | |
| Seedream 4.0 Seedream 4.0 is ByteDance Seed's image model released in September 2025, which puts text-to-image generation, image editing and multi-image composition into a single architecture and can output images from 1K up to 4K resolution. | |
| LongCat-Flash LongCat-Flash is a 560-billion-parameter Mixture-of-Experts language model from Meituan's LongCat team, which activates roughly 27 billion parameters per token and was released with open weights under the MIT license. | |
| HunyuanImage 3.0 An open-source image generation model from Tencent that handles image understanding and generation inside a single autoregressive mixture-of-experts framework; its code, weights and technical report were released in September 2025. | |
| MiniMax-M2 MiniMax-M2 is an open-weights mixture-of-experts language model released by MiniMax in October 2025, with 230B total and 10B active parameters, aimed at coding and agentic workflows. | |
| Kimi K2 Thinking Kimi K2 Thinking is a reasoning model released by Moonshot AI in November 2025, built on the Kimi K2 mixture-of-experts architecture and trained for native INT4 inference and long chains of tool calls. | |
| ERNIE 5.0 ERNIE 5.0 is Baidu's natively omni-modal foundation model, unveiled in November 2025 and described as having 2.4 trillion parameters. It is proprietary and was made available to enterprises and consumers in January 2026. | |
| DeepSeekMath-V2 DeepSeekMath-V2, released on 27 November 2025, is a mathematical reasoning model trained to verify its own proofs. DeepSeek reported gold-level scores on IMO 2025 and CMO 2024 problems, and 118 of 120 on Putnam 2024. | |
| GLM-4.7 GLM-4.7 is Zhipu's open-weights language model released in December 2025, aimed at multilingual agentic coding and terminal tasks. It reports clear gains over GLM-4.6 on software-engineering benchmarks and ships under the MIT license. | |
| Kling O1 Kling O1 is a video model that Kuaishou announced on 1 December 2025. The company described it as the first unified multimodal video model: text, image, video and subject inputs go into one engine used both for generation and for editing. | |
| DeepSeek-V3.2 and V3.2-Speciale DeepSeek-V3.2, released on 1 December 2025, succeeded the experimental V3.2-Exp and integrated thinking into tool use. Its companion V3.2-Speciale, which maximizes reasoning, reached gold-level results at several 2025 competitions. | |
| Tencent HY 2.0 Tencent's flagship model released in December 2025, offered in Think and Instruct versions, built on a 406-billion-parameter mixture-of-experts architecture with a 256K-token context window. | |
| Kimi K2.5 Kimi K2.5 is a natively multimodal open-weight model from Moonshot AI, released on 27 January 2026. It has 1 trillion total parameters, a 256K-token context and an Agent Swarm feature for parallel sub-agents. | |
| Step 3.5 Flash Step 3.5 Flash is an open-weights Mixture-of-Experts language model from StepFun, released in February 2026 with 196 billion total parameters, a 256K-token context and an Apache 2.0 license. | |
| Kling 3.0 Kling 3.0 is Kuaishou's video and image model series, launched on 5 February 2026 as four models. It generates up to 15 seconds of video with simultaneous audio, adds multi-shot generation and supports native 4K output. | |
| GLM-5 GLM-5 is Zhipu's open model released on 12 February 2026 under the MIT License, with 744 billion parameters and 40 billion active. It was built for agentic engineering. | |
| MiniMax-M2.5 MiniMax-M2.5 is an open-weight 229B-parameter language model released in February 2026 for agentic coding and office work, shipped alongside a faster Lightning variant and reported at the top of software-engineering benchmarks. | |
| Seed2.0 (Doubao-Seed-2.0) Seed2.0 is ByteDance's February 2026 Doubao model series, offered in three agent-oriented sizes with low token pricing and reported benchmark results. | |
| Qwen3.5 Qwen3.5 is a natively multimodal model family from Alibaba released in February 2026. Its open flagship, Qwen3.5-397B-A17B, has 397B total parameters and 17B active per token, under Apache 2.0. | |
| Qwen3.6 A generation of Alibaba's Qwen models released in April 2026, spanning proprietary Plus and Max versions aimed at agentic coding and open-weight models such as Qwen3.6-35B-A3B, a 35B-parameter mixture-of-experts with 3B active parameters. | |
| GLM-5.1 GLM-5.1 is Zhipu AI's open-source large language model released in April 2026, built for coding and long-running agent tasks and notable for topping SWE-Bench Pro ahead of competing frontier models in Zhipu's own comparison. | |
| MiniCPM5 MiniCPM5 is a series of small, dense, open-weight language models from the MiniCPM team, beginning with a 1B model released in May 2026 and followed by a 2B model in September 2026, all aimed at on-device and other resource-constrained deployment. | |
| MiniMax-M3 A mixture-of-experts language model released by MiniMax in June 2026, with about 428B total parameters, a 1M-token context window and a new sparse attention scheme built for long-context and agent-style work. [^1] | |
| GLM-5.2 Zhipu's open-weight language model released in June 2026 under the MIT License, with a 1M-token context, a shared sparse-attention indexer, and higher reasoning and coding scores than GLM-5.1. | |
| Seed2.1 (Doubao Seed 2.1) ByteDance Seed's Seed2.1, released in June 2026 in Pro and Turbo versions, is a Doubao-family model aimed at real productivity work, with reported gains in agent ability, coding, knowledge, reasoning and multimodal understanding. | |
| Vidu S1 Vidu S1 is Shengshu's real-time interactive video generation model, released in July 2026. It takes spoken commands as control input, runs on consumer GPUs at 540p and up to 42 frames per second, and keeps generating without drift. | |
| Tencent Hy3 Tencent Hy3 is an open-weight reasoning model released on 6 July 2026 under Apache 2.0, with 295 billion total parameters, 21 billion active and a 256K context. | |
| Qwen3.8 Qwen3.8 is Alibaba's 2026 flagship line. Its open 2.4-trillion-parameter model, Qwen3.8-2.4T-A95B, released in August 2026, has 95B active parameters and a custom license. | |
| GLM-5.3 GLM-5.3 is Zhipu's open-weight language model released on 14 August 2026. It keeps the GLM-5.2 base model and gains its improvements from post-training, with reported state-of-the-art open results on agentic coding and cybersecurity benchmarks. | |
| Tencent Hy4 preview Tencent Hy4 preview is an open-weight mixture-of-experts model released on 28 August 2026 with 770 billion total parameters, 49 billion active and a context of over one million tokens. | |
| Step 5 Preview Step 5 Preview is a preview release of StepFun's flagship foundation model: a sparse mixture-of-experts system with 600 billion total parameters, a 1-million-token context window and published weights, released in September 2026. | |
| DeepSeek-V4.1-Flash DeepSeek-V4.1-Flash, released on 10 September 2026 under the API name deepseek-flash, is a 552-billion-parameter multimodal mixture-of-experts model with a causal encoder-decoder design and a 1M-token context. | |
| Vidu S2 Vidu S2 is a two-part video generation system: S2-Avatar renders interactive digital characters at 720p in real time, and S2-Editing transforms live video streams. Both also produce stereo views for immersive displays. | |
| PixVerse R2 PixVerse R2 is a real-time world model announced on 22 September 2026, an upgrade to R1 that keeps a navigable world generating while the user moves inside it and holds state across a session. | |
| Kimi K3.1 Pro Kimi K3.1 Pro is Moonshot AI's October 2026 open-weights model, the first in the K3.1 series, built for financial research, 3D modeling and coding. It keeps K3's mixture-of-experts scale but swaps in sparse attention layers. | |
| Kling 4.0 Kling 4.0 is a text-to-video generation model released to all users in October 2026, adding longer shots, multi-image references and more convincing physical motion, alongside a faster Flash variant built for high-volume work. | |
| iFlytek Spark X2.6 iFlytek's Spark X2.6 is a device-cloud model family unveiled in October 2026, pairing a 293-billion-parameter mixture-of-experts cloud model with smaller on-device models and a router that decides where each task runs. | |
| AGIBOT GO-3 Preview GO-3 Preview is an embodied AI model that AGIBOT announced in October 2026, built on a World Reasoning Action Model; the company says it topped three embodied AI benchmarks and will fully open-source it by the end of 2026. | |
| ERNIE 2.0 ERNIE 2.0 is Baidu's pre-trained language model framework, published in 2019, which builds pre-training tasks incrementally through continual multi-task learning and reported results above BERT and XLNet on English and Chinese benchmarks. | |
| ERNIE 3.0 Titan ERNIE 3.0 Titan is a Chinese pre-trained language model with over 260 billion parameters, described by its authors as the largest dense Chinese model of its time and reported to beat state-of-the-art systems on 68 NLP datasets. | |
| Baichuan-7B Baichuan-7B is an open-source, 7-billion-parameter language model for Chinese and English released in June 2023, the first model from Baichuan, trained on about 1.2 trillion tokens and evaluated on Chinese and English benchmarks. | |
| ERNIE 3.5 ERNIE 3.5 is a Baidu large language model announced in June 2023 as the upgrade behind the ERNIE Bot chatbot, adding a plugin architecture and, according to Baidu, outperforming ChatGPT on several benchmarked abilities. | |
| Baichuan-13B An open-source 13-billion-parameter language model from Baichuan, released in Base and Chat versions in July 2023, trained on 1.4 trillion tokens and benchmarked against Meta's LLaMA-13B. | |
| Skylark (Yunque) Skylark, or Yunque (云雀), is ByteDance's first large language model. Released in August 2023, it powered the Doubao chatbot and was relaunched in May 2024 as the Doubao model family. | |
| iFlytek Spark V2.0 SparkDesk V2.0 is the second version of iFlytek's large language model, launched on 15 August 2023 with upgraded coding and multimodal abilities, and released alongside the iFlyCode 1.0 programming assistant. | |
| Qwen-VL Qwen-VL is a family of vision-language models released in August 2023 that builds on the Qwen language model to caption images, answer questions about them, locate objects and read text, with open Base and Chat versions. | |
| iFlytek Spark V3.0 iFlytek's Spark V3.0, released on 24 October 2023, is a large language model the company said beat GPT-3.5 in Chinese; it arrived with a domestic Huawei-built computing platform and twelve industry models. | |
| DeepSeek Coder DeepSeek's first model release: a family of open-source code models from 1.3B to 33B parameters, trained from scratch on 2 trillion tokens and reported to beat Codex and GPT-3.5 on several benchmarks. | |
| DeepSeek LLM (7B and 67B) DeepSeek LLM is DeepSeek's first general-purpose language model series, released on 29 November 2023 in 7B and 67B sizes, each with a base version and a chat version. | |
| DeepSeekMoE DeepSeekMoE is a mixture-of-experts architecture from DeepSeek, released in January 2024, that splits experts finely and keeps a few shared experts always active so that each expert holds focused knowledge. Its 16B open-weights model matched larger dense models at a fraction of the computation. | |
| Yi-VL Yi-VL-34B and Yi-VL-6B are open vision-language models from 01.AI, released on 23 January 2024. They read images and text together and ranked first among open models on the MMMU and CMMMU benchmarks. | |
| Baichuan 3 Baichuan 3 is a closed language model with more than one hundred billion parameters, released by Baichuan on 29 January 2024. The company reported that it matched or beat GPT-4 on several Chinese benchmarks and on Chinese medical tasks. | |
| iFlytek Spark V3.5 Spark V3.5 is a large language model that iFlytek released on 30 January 2024. It was the first Spark model trained entirely on the domestic FlyingStar One computing platform, and iFlytek compared it with GPT-4 Turbo. | |
| DeepSeekMath DeepSeekMath is a 7B-parameter open language model built for mathematical reasoning and released in 2024. It reached 51.7% on the competition-level MATH benchmark without external tools, and introduced GRPO, a reinforcement-learning algorithm that uses less memory than PPO. | |
| Qwen1.5 Qwen1.5 is the Qwen family's open model release of February 2024, with base and chat models from 0.5B to 72B parameters, later extended to 110B, and a mixture-of-experts model. | |
| SenseNova 4.0 SenseNova 4.0, announced on 8 February 2024, upgraded SenseTime's model family with 4K, 32K and 128K context versions, specialised models and a first multimodal tool-calling API. | |
| Step-1V Step-1V is a roughly 100-billion-parameter multimodal model from StepFun, unveiled in March 2024, that reads text, data and charts in images and supports video understanding; it ranked first on OpenCompass at launch and was succeeded by Step-1.5V. | |
| Step-1 Step-1 is StepFun's first language model, a system of roughly one hundred billion parameters unveiled in Shanghai on 23 March 2024 alongside the multimodal Step-1V and a preview of Step-2. | |
| Mengzi3 Mengzi3 is an open-source large language model series from Langboat, released in 8B and 13B sizes under Apache-2.0, built on the Llama architecture and trained further on trillions of multilingual tokens. | |
| abab 6.5 abab 6.5 is a mixture-of-experts language model family released by MiniMax in April 2024, reported to support a 200,000-token context and to answer all 891 queries in a long-context retrieval test. | |
| Yi-1.5 Yi-1.5 is an open-source family of language models from 01.AI, released in 34B, 9B and 6B sizes in base and chat forms, built by continuing to pre-train the earlier Yi models on a large new corpus. | |
| Hunyuan-DiT Hunyuan-DiT is Tencent's open text-to-image diffusion transformer, built for fine-grained English and Chinese prompt understanding. Its 2024 report and weights were released publicly, and human evaluations placed it ahead of several open models but behind leading closed ones. | |
| Baichuan 4 Baichuan 4 is a closed large language model released by the Chinese company Baichuan on 22 May 2024, the company's first multimodal model and the engine behind its first AI assistant, Baixiaoying. | |
| ERNIE 4.0 Turbo ERNIE 4.0 Turbo is a large language model Baidu released in June 2024 as a faster, cheaper upgrade to ERNIE 4.0, sitting between ERNIE 4.0 and ERNIE 4.5 in the company's model line. | |
| DeepSeek-Coder-V2 An open-source mixture-of-experts code model from DeepSeek, released in June 2024, that widened language coverage and context length over its predecessor and reported benchmark results above several closed models. | |
| SenseNova 5.5 SenseTime's July 2024 model family, unveiled at WAIC, adding a real-time multimodal model, lightweight and edge versions, and migration incentives aimed at OpenAI customers. | |
| Kolors Kolors is Kuaishou's open-weight text-to-image model, released on 6 July 2024, built on latent diffusion and tuned for both Chinese and English prompts. | |
| CogVideoX CogVideoX is an open-source family of text-to-video models from Zhipu AI and Tsinghua University, released starting in August 2024 and derived from the earlier open-source CogVideo. | |
| Qwen2-VL Qwen2-VL is Alibaba's vision-language model released on 29 August 2024. It understands videos longer than 20 minutes, reads text in many languages, and can act as an agent on phones and robots. | |
| Kling 1.5 Kling 1.5 is a September 2024 version of Kuaishou's video generation model, adding 1080p output, a Motion Brush, and quality improvements before being succeeded by Kling 1.6 in December 2024. | |
| Yi-Coder Yi-Coder is a family of open-source code models from 01.AI, released in September 2024 in 1.5B and 9B sizes, each with base and chat versions, covering 52 programming languages with context up to 128K tokens. | |
| DeepSeek-V2.5 DeepSeek-V2.5 is a model released on 5 September 2024 that merged DeepSeek's chat and code models into one, keeping both conversational and coding ability while improving safety scores. | |
| Hunyuan Turbo Hunyuan Turbo is Tencent's large language model, released on Tencent Cloud in September 2024 and tuned for lower training and serving costs. It was succeeded in February 2025 by Hunyuan Turbo S, which cut API prices further. | |
| iFlytek Spark 4.0 Turbo A large language model released by iFlytek in October 2024 and upgraded in January 2025, trained and served on the domestic Feixing No.1 computing platform; iFlytek reported it leading several Chinese and English benchmarks against GPT-4 Turbo and GPT-4o. | |
| QwQ-32B-Preview QwQ-32B-Preview is an experimental reasoning research model released by the Qwen team on 28 November 2024, with 32B parameters, a 32K-token context and open Apache 2.0 weights. It scored strongly on maths benchmarks but the team documented clear failure modes. | |
| Kling 1.6 Kling 1.6 is a December 2024 upgrade to Kuaishou's Kling video generation model, with better handling of motion and camera instructions in prompts and improved visual quality; it was succeeded by Kling 2.0 in April 2025. | |
| DeepSeek-VL2 A family of open mixture-of-experts vision-language models from DeepSeek, released in three sizes from 1.0B to 4.5B activated parameters for document, chart and OCR understanding, succeeding DeepSeek-VL. | |
| Megrez-3B-Instruct An open-weights 3-billion-parameter language model from Infinigence AI, released on Hugging Face in December 2024 under Apache-2.0, built on a Llama-2 architecture with a 32K-token context for local deployment. | |
| Megrez-3B-Omni Megrez-3B-Omni is an open-source model from December 2024 that understands images, text and audio on end-side devices, pairing a 2.29B-parameter language backbone with SigLip and Whisper encoders for about 4B parameters in total. | |
| Qwen2.5-VL Qwen2.5-VL is Alibaba's vision-language model family released in January 2025 in 3B, 7B, 32B and 72B sizes. It reads charts and documents, localises objects, works as a visual agent and understands videos over an hour long. | |
| Hunyuan3D 2.0 Hunyuan3D 2.0 is Tencent's large-scale system for generating high-resolution textured 3D assets: a shape diffusion transformer plus a texture model, released with code and pretrained models on 21 January 2025 alongside its technical report. | |
| UI-TARS UI-TARS is a GUI agent model from ByteDance Seed: it takes only screenshots as input and outputs keyboard and mouse actions, reported state-of-the-art results on more than 10 benchmarks, and was released with open weights under Apache-2.0. | |
| Baichuan-M1 Baichuan-M1 is Baichuan's medical model line, released on 24 January 2025 with Baichuan-M1-preview and the open Baichuan-M1-14B, which Baichuan described as trained from scratch for medicine. | |
| Janus-Pro Janus-Pro is DeepSeek's January 2025 multimodal model that handles both image understanding and text-to-image generation in one system, released in 1B and 7B sizes as a stronger successor to Janus. | |
| Step-Audio Step-Audio is an open family of speech-interaction models released by StepFun on 17 February 2025. It includes Step-Audio-Chat, with 130 billion parameters, and Step-Audio-TTS-3B. | |
| DeepSeek-V3-0324 DeepSeek-V3-0324 is a March 2025 update to DeepSeek-V3 that keeps the same model structure while raising benchmark scores and moving to the MIT License. | |
| Qwen2.5-Omni Qwen2.5-Omni is Alibaba's end-to-end multimodal model that takes text, images, audio and video as input and answers with text and natural speech. The 7B version was released on 26 March 2025. | |
| Kimi-VL Kimi-VL is an open-source vision-language model from Moonshot AI, released in April 2025. It pairs a 16B-parameter mixture-of-experts language model with a native-resolution vision encoder, so only about 3B parameters are active at a time. | |
| Seedream 3.0 Seedream 3.0 is ByteDance Seed's Chinese–English image-generation foundation model of 2025, improving on Seedream 2.0 in prompt alignment, Chinese text rendering and native 2K output. Seedream 4.0 succeeded it in September 2025. | |
| UI-TARS-1.5 ByteDance Seed's GUI agent model from April 2025 and the successor to UI-TARS. Its 7B version is open-source under Apache-2.0, and the family reports state-of-the-art results on several screen-control benchmarks. | |
| Step1X-Edit An open image-editing model from StepFun released in April 2025 under Apache 2.0, pairing a multimodal language model with a diffusion image decoder and shipping weights, inference code and the GEdit-Bench evaluation set. | |
| ERNIE 4.5 Turbo ERNIE 4.5 Turbo is Baidu's multimodal large language model released on 25 April 2025, presented as a faster successor to ERNIE 4.5 with lower hallucination rates and sharply cut API prices. | |
| ERNIE X1 Turbo ERNIE X1 Turbo is a Baidu reasoning model released on 25 April 2025, positioned as a cheaper and more capable successor to ERNIE X1, with stronger chain-of-thought, multimodal and tool-use abilities. | |
| DeepSeek-Prover-V2 DeepSeek's open-source model for formal theorem proving in Lean 4, trained with a subgoal-decomposition pipeline; it reached an 88.9% pass ratio on MiniF2F-test and introduced the ProverBench benchmark. | |
| Kling 2.1 Kling 2.1 is a Kuaishou video generation model released at the end of May 2025 in three tiers — 720p Standard, 1080p High Quality and 1080p Master — with claimed gains in motion, physical simulation and prompt responsiveness. It was superseded by Kling 2.5 Turbo.[^1][^2][^3] | |
| Seed-Coder Seed-Coder is a family of open code models released by ByteDance Seed in May 2025, with 8B-parameter Base, Instruct and Reasoning variants trained on data filtered by language models rather than hand-written rules. | |
| MiniCPM4 MiniCPM4 is a language model built for end-side devices rather than servers, pairing a trainable sparse attention mechanism with a compact data recipe and an inference stack tuned for long-context speed. | |
| Hunyuan-A13B Hunyuan-A13B is Tencent's open-weight mixture-of-experts language model, released on 27 June 2025 with 80 billion total parameters, 13 billion active per token and a 256K context. | |
| SenseNova V6.5 SenseNova V6.5 is SenseTime's enhanced multimodal model, announced in July 2025, built around interleaved image-text reasoning and powering an agent upgrade of the Raccoon assistant. | |
| Megrez2-3x7B-A3B Megrez2-3x7B-A3B is a mixture-of-experts language model from Infinigence AI built for on-device deployment, in which groups of adjacent layers share one pool of experts so that it stores 7.5 billion parameters but activates only 3 billion per token. | |
| Step-Audio 2 Step-Audio 2 is a speech model from StepFun that can understand audio and hold spoken conversations. Its mini versions were released under the Apache 2.0 license in 2025. | |
| HunyuanWorld 1.0 HunyuanWorld 1.0 is Tencent's open-source model for generating explorable, mesh-exportable 3D worlds from text or images. Released in July 2025, it was followed by a series of lighter and faster versions. | |
| Wan2.2 An open family of video generation models released in July 2025 under the Apache 2.0 licence, notable for bringing a two-expert mixture-of-experts design to video diffusion and for a 5B model that runs on a single consumer GPU. | |
| Baichuan-M2 Baichuan-M2 is an open-source medical-enhanced model with 32 billion parameters, built on Qwen2.5-32B and released under Apache 2.0 for research and reference. | |
| Qwen-Image A 20-billion-parameter open-weights image generation model released by Qwen in August 2025, notable for rendering text inside images, especially Chinese. | |
| GLM-4.5V A vision-language model released by Zhipu on 11 August 2025, built on GLM-4.5-Air and covering image, video, long-document and GUI tasks; Zhipu reports state-of-the-art results at its scale on 42 benchmarks. | |
| Qwen3-Omni Qwen3-Omni is an open-weight multimodal model released by the Qwen team in September 2025 under Apache 2.0, able to take in text, audio and video and to answer in text or speech across many languages. | |
| Kling 2.5 Turbo Kling 2.5 Turbo is a Kuaishou video generation model released at the end of September 2025, which Artificial Analysis ranked No. 1 worldwide for text-to-video and image-to-video ten days after launch, and which cut creators' per-video generation cost by nearly 30%. | |
| Qwen3-Next Qwen3-Next is an open-weight model from Alibaba's Qwen team, released in September 2025 under Apache 2.0. It has 80B total parameters, only 3B active per token, and a hybrid attention design later used in Qwen3.5. | |
| GLM-4.6 GLM-4.6 is an open-weights large language model released by Zhipu in late September 2025, with a 200K-token context window, about 357 billion parameters and an MIT licence, aimed at coding, reasoning and agent work. | |
| UI-TARS-2 UI-TARS-2 is a GUI agent trained with multi-turn reinforcement learning and released in September 2025 as an all-in-one upgrade to UI-TARS-1.5, with benchmark scores across web, desktop, Android, games and software-engineering tasks. | |
| ERNIE X1.1 ERNIE X1.1 is Baidu's reasoning model unveiled in September 2025, an update to ERNIE X1 that the company reports as stronger in factuality, instruction following and agentic tasks, built on ERNIE 4.5 and released alongside PaddlePaddle v3.2. | |
| ERNIE-4.5-21B-A3B-Thinking A deep-thinking mixture-of-experts model from Baidu with 21 billion total and 3 billion active parameters, a 128K context window and an Apache 2.0 license, open-sourced in September 2025 alongside ERNIE X1.1. | |
| DeepSeek-V3.2-Exp An experimental DeepSeek model released on 29 September 2025 that introduced DeepSeek Sparse Attention to make long-context training and inference cheaper, shipped with open weights and an immediate API price cut. | |
| DeepSeek-OCR DeepSeek-OCR is an open-source model of about 3B parameters that renders long text as 2D images and reads it back from a small number of vision tokens, testing whether optical compression can stand in for very long text contexts. | |
| ERNIE-4.5-VL-28B-A3B-Thinking Baidu's open-weight multimodal reasoning model from November 2025: 28B total parameters with 3B active per token, "Thinking with Images" zoom-and-tool reasoning, and Apache 2.0 weights. | |
| iFlytek Spark X1.5 iFlytek's Spark X1.5 is a deep reasoning model released in November 2025 that runs on a domestic computing platform built with Huawei, using a 293-billion-parameter mixture-of-experts design. | |
| MiniMax-M2.1 MiniMax-M2.1 is an open-weight language model released in December 2025 as the successor to M2, aimed at software engineering and multilingual coding, with a 229B-parameter checkpoint and large reported gains on coding benchmarks. | |
| Kling 2.6 Kling 2.6 is a Kuaishou video generation model released in December 2025 that produces visuals, voiceover, sound effects and ambient audio in a single pass, with clips capped at 10 seconds. | |
| Doubao-Seed-1.8 Doubao Large Model 1.8 (Doubao-Seed-1.8) is ByteDance's Volcano Engine flagship released on 18 December 2025. It is built for multimodal agent tasks, with stronger tool calling and computer-operation abilities. | |
| Seedance 1.5 pro An audio-video generation model from Volcano Engine, announced on 18 December 2025, that produces picture, voices, music and ambient sound together and keeps them in millisecond-level sync. | |
| Baichuan-M3 Baichuan-M3 is a new-generation open-source medical-enhanced language model with 235 billion parameters, built on Qwen3-235B-A22B and released under Apache 2.0 in January 2026. | |
| iFlytek Spark X2 A large language model released by iFlytek on 11 February 2026, trained entirely on domestic computing power and aimed at practical use in education, healthcare, automotive and agents. | |
| MiniMax-M2.7 MiniMax-M2.7 is a 229B-parameter language model released by MiniMax in March 2026, built for agentic work and presented by the company as its first model to take part in its own improvement. | |
| Kimi K2.6 Kimi K2.6 is an open-weight Moonshot AI model released in April 2026, focused on long-horizon coding, with a 262,144-token context, text and image input, and Agent Swarm scaled to 300 sub-agents. | |
| SenseNova U1 SenseNova U1 is SenseTime's open-weight multimodal model family, first released in April 2026 under Apache 2.0, which understands and generates images without a separate visual encoder or VAE. | |
| ERNIE 5.1 ERNIE 5.1 is Baidu's large language model released on 9 May 2026, derived from ERNIE 5.0's pre-training at about 6% of the usual pre-training cost, and it placed at the top of Chinese models on LMArena text and search.[^1][^3] | |
| Step 3.7 Flash Step 3.7 Flash is a StepFun open-weights model released on 29 May 2026. It adds native image input to Step 3.5 Flash, supports a 256K context, and is licensed under Apache 2.0. | |
| Seedance 2.5 Seedance 2.5, released by ByteDance in July 2026, is an audio-video joint generation model that makes clips of up to 30 seconds per pass, accepts many multimodal references, and supports editing parts of a scene without regenerating the whole clip. | |
| SenseNova U1.5 SenseNova U1.5 is SenseTime's open-weight, 8-billion-parameter model that handles image understanding, reasoning and native 4K generation in a single network, without separate vision encoders or VAEs. It is released under the Apache License 2.0. | |
| iFlytek Spark X2.5 iFlytek Spark X2.5 is a 293B-A30B mixture-of-experts language model released on 7 September 2026, trained and served entirely on domestic computing power, with a 256K context window and support for more than 200 languages. | |
| MiniMax-M3.1-Flash MiniMax-M3.1-Flash is a sparse mixture-of-experts model from MiniMax with about 428B total parameters, 23B activated per token, text, image and video input and up to 1M tokens of context, released on Hugging Face in October 2026. | |
| ERNIE 5.5 Flash Base ERNIE 5.5 Flash Base is Baidu's openly published base checkpoint from November 2026: a text-only sparse mixture-of-experts model with 280B total and 14B activated parameters, released for fine-tuning rather than as a finished assistant. | |
| SenseNova 6.8 Flash SenseTime's multimodal agent model, announced in Hong Kong in November 2026, aimed at office work and design generation: long-term memory, task execution, and output ranging from PPTX decks to Blender 3D scenes. |