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Models
Foundation, generative, multimodal and specialised models.
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2026
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Oct 28, 2026
NVIDIA Nemotron 3.5 Transcribe
Nemotron 3.5 Transcribe is Nvidia's free, open-weight speech transcription model, released on 28 October 2026. It handles recordings up to an hour long, transcribes up to 40 languages and can separate up to eight speakers.
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Jul 8, 2026
Robostral Navigate
Robostral Navigate is Mistral AI's first embodied navigation model: an 8-billion-parameter system that steers wheeled, legged or flying robots from RGB images and a plain-language instruction, using a single ordinary camera and no depth sensor.
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Apr 16, 2026
Claude Opus 4.7
Released on 16 April 2026 at the same price as Opus 4.6, Claude Opus 4.7 added an xhigh effort level and accepted much larger images. It was the first model to test automatic blocking of high-risk cybersecurity requests.
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Apr 9, 2026
EXAONE 4.5
EXAONE 4.5 is LG AI Research's first open-weight vision language model: a 33-billion-parameter model with a 1.2-billion-parameter vision encoder, trained on documents and text, with a 256K-token context window, released in April 2026.
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Mar 11, 2026
Reka Edge
Reka Edge is a 7-billion-parameter vision-language model from Reka AI, released on 11 March 2026, built to take images, video and text and to run locally on laptops, phones and small edge devices.
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Mar 4, 2026
Phi-4-reasoning-vision-15B
Phi-4-reasoning-vision-15B is Microsoft's 15-billion-parameter open-weight vision-language model, released on 4 March 2026 under the MIT licence, built to switch between step-by-step reasoning for math and science and direct answers for image perception tasks.
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Feb 12, 2026
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.
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Feb 11, 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.
2025
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Dec 15, 2025
NVIDIA Nemotron 3 (Nano, Super, Ultra)
NVIDIA Nemotron 3 is an open family of hybrid mixture-of-experts language models, announced in December 2025 in Nano, Super and Ultra sizes, with up to one million tokens of context.
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Dec 11, 2025
Molmo 2
Molmo 2 is the second generation of Ai2's open vision-language models, released on 11 December 2025, which extends the Molmo line from still images to video with pointing, tracking and timestamped answers.
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Dec 2, 2025
Ministral 3
Three small dense models from Mistral AI — 3B, 8B and 14B — released in December 2025 under Apache 2.0, each in base, instruct and reasoning variants with image understanding.
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Nov 20, 2025
Olmo 3
Olmo 3 is the third generation of the Allen Institute for AI's fully open language models, announced on 20 November 2025 in 7B and 32B dense Transformer sizes, with a 65,536-token context and all datasets openly available.
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Nov 19, 2025
SAM 3 (Segment Anything Model 3)
SAM 3 is Meta's segmentation model from November 2025. It finds, segments and tracks every instance of a concept named by a short text prompt or an example image, and Meta reported it doubles the accuracy of existing systems on this task.
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Nov 6, 2025
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.
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Nov 2025
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.
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Oct 20, 2025
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.
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Sep 29, 2025
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.
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Sep 4, 2025
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.
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Sep 2025
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.
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Sep 2025
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.
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Aug 20, 2025
NVIDIA Nemotron Nano 2
Nemotron Nano 2 is NVIDIA's 9B reasoning model, built on a hybrid Mamba-Transformer design and released with open weights and most of its training data; NVIDIA reports much higher throughput than similar-sized models.
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Aug 11, 2025
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.
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Jul 31, 2025
Command A Vision
Command A Vision is Cohere's first vision-language model in the Command family, released in July 2025. It pairs a 112-billion-parameter Command A language model with a SigLIP2 image encoder to read images, charts and documents and answer in text.
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Jul 25, 2025
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.
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Jul 8, 2025
SmolLM3
SmolLM3 is a 3-billion-parameter open model released by Hugging Face on 8 July 2025. It supports six languages and up to 128K tokens of context, with switchable reasoning, under Apache 2.0.
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Apr 16, 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.
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Apr 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.
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Mar 13, 2025
OLMo 2 32B
The largest model in Ai2's OLMo 2 family: a 32-billion-parameter language model released with its data, code, weights and training details, and reported to outperform GPT-3.5-Turbo and GPT-4o mini on academic benchmarks.
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Mar 12, 2025
Gemini Robotics
Gemini Robotics is a vision-language-action model from Google DeepMind, built on Gemini 2.0, that outputs physical actions to control robots. It was announced on 12 March 2025 alongside Gemini Robotics-ER.
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Mar 6, 2025
Mistral OCR
Mistral OCR is a document-understanding API released by Mistral AI on 6 March 2025 that reads text, tables, equations and embedded media across thousands of scripts and languages, and was later superseded by newer OCR versions.
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Mar 4, 2025
Aya Vision
Cohere's first vision-language model, released in March 2025 as open-weight 8B and 32B versions. It handles images and text in 23 languages and, in Cohere's comparisons, beats several much larger models, under a non-commercial licence.
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Jan 21, 2025
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.
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Jan 21, 2025
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.
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Jan 15, 2025
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.
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Jan 2025
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.
2024
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Dec 26, 2024
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.
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Dec 13, 2024
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.
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Dec 12, 2024
Phi-4
Phi-4 is Microsoft's 14-billion-parameter dense decoder-only language model, built with a data-quality-first recipe heavy on synthetic data and released with full weights under the MIT licence in January 2025.
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Nov 26, 2024
OLMo 2
OLMo 2 is the second generation of the Allen Institute for AI's fully open language model family, released in 7B and 13B sizes with weights, data, code and training recipes all public.
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Nov 18, 2024
Pixtral Large
Pixtral Large is Mistral AI's open-weight multimodal model announced on 18 November 2024, built on Mistral Large 2, combining a 123B-parameter decoder with a 1B vision encoder and a 128K-token context window. It was retired in May 2026.
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Nov 2024
SmolLM2
SmolLM2 is Hugging Face's second family of small language models, released in November 2024 at 135M, 360M and 1.7B parameters, with open weights and a data-centric training recipe.
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Oct 16, 2024
Ministral 3B and 8B
Ministral 3B and Ministral 8B are two small Mistral AI language models released on 16 October 2024 for on-device and edge use, offering long context, low API prices and, for the 3B, performance Mistral claimed beat its earlier 7B model.
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Sep 25, 2024
Molmo
Molmo is a family of open vision-language models released by Ai2 on 25 September 2024 that can point at objects in images, with weights, code, data and evaluations published openly.
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Sep 25, 2024
Llama 3.2
Llama 3.2, announced on 25 September 2024, added vision models at 11 billion and 90 billion parameters and small text-only models at 1 billion and 3 billion for edge and mobile devices.
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Sep 17, 2024
Pixtral 12B
Pixtral 12B is Mistral AI's first multimodal model, pairing a 12B language decoder with a 400M vision encoder. Released openly under Apache 2.0 in September 2024, it reads images at native resolution and was retired at the end of 2025.
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Sep 17, 2024
NVLM 1.0
NVLM is a family of multimodal large language models from NVIDIA, described in a paper posted to arXiv in September 2024; its flagship NVLM-D-72B was later released as open weights for non-commercial use.
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Aug 29, 2024
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.
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Jul 29, 2024
SAM 2 (Segment Anything Model 2)
SAM 2 is Meta's 2024 successor to the Segment Anything Model. It segments objects in both images and videos in real time, and its release included the SA-V video dataset.
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Jul 18, 2024
Mistral NeMo
Mistral NeMo is a 12-billion-parameter language model released by Mistral AI with NVIDIA in July 2024, notable for a 128K-token context window, a new multilingual tokenizer called Tekken, and an Apache 2.0 release.
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Jul 16, 2024
SmolLM
SmolLM is a family of small language models with 135M, 360M and 1.7B parameters, released openly by Hugging Face in July 2024 for on-device use and trained on a purpose-built corpus of generated textbooks, code and filtered web text.
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Jun 27, 2024
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.
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Jun 20, 2024
Claude 3.5 Sonnet
Claude 3.5 Sonnet, released on 20 June 2024, was the first model of the Claude 3.5 family. It ran twice as fast as Claude 3 Opus at the mid-tier price and powered the new Artifacts and Projects features.
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Jun 14, 2024
Nemotron-4 340B
Nemotron-4 340B is a family of open models from NVIDIA, released on 14 June 2024 as base, instruct and reward models. It was built to generate synthetic data for training other language models, and it fits on a single eight-GPU DGX H100.
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Apr 22, 2024
OpenELM
OpenELM is a family of small open language models from Apple, published in four sizes from 270M to 3B parameters with its training framework, logs, checkpoints and MLX conversion code.
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Mar 28, 2024
Grok-1.5 and Grok-1.5V
Grok-1.5 is xAI's upgrade to Grok-1, with better reasoning and a 128,000-token context window. Its companion Grok-1.5V was xAI's first multimodal model. Neither model's weights were released publicly.
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Mar 23, 2024
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.
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Mar 13, 2024
Claude 3 Haiku
Claude 3 Haiku is the smallest and fastest model in Anthropic's Claude 3 family, announced in March 2024 with low per-token pricing, a 200K-token context window and image input; retired in April 2026.
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Mar 4, 2024
Claude 3 Sonnet
Claude 3 Sonnet was the middle model of Anthropic's Claude 3 family, announced on 4 March 2024. It powered the free tier of claude.ai, offered a 200K-token context window, and was retired on 21 July 2025.
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Mar 4, 2024
Claude 3 Opus
Claude 3 Opus, announced on 4 March 2024, was the most capable model in the Claude 3 family. It added vision and launched with a 200K-token context window and a Needle In A Haystack recall above 99%.
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Feb 28, 2024
StarCoder2
StarCoder2 is a family of open code models in 3B, 7B and 15B sizes, released in February 2024 by BigCode (Hugging Face and ServiceNow) with NVIDIA and trained on The Stack v2, published together with its dataset and training code.