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Foundation, generative, multimodal and specialised models.

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2026

2025

  • 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.

    Large language modelsOpen sourceMultimodal

  • 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.

    Large language modelsChinaReasoning

  • 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.

    Large language modelsOpen sourceChina

  • 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.

    Large language modelsOpen sourceChina

  • 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.

    Open sourceChinaMultimodal

  • 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.

    Large language modelsChinaReasoning

2024

  • 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.

    Large language modelsOpen sourceChina

  • 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.

    Large language modelsEnterpriseHardware & compute

  • Jul 25, 2024 AlphaProof

    AlphaProof is a Google DeepMind reinforcement-learning system that proves mathematical statements in the formal language Lean. At the 2024 International Mathematical Olympiad it solved three problems, and together with AlphaGeometry 2 reached silver-medal level.

    ReasoningScienceSymbolic AI

  • 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.

    Large language modelsOpen sourceHardware & compute

  • 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.

    Large language modelsChinaFoundation models

  • Jan 30, 2024 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.

    Large language modelsChinaFoundation models

  • Jan 17, 2024 AlphaGeometry

    AlphaGeometry is a Google DeepMind system that pairs a neural language model with a symbolic deduction engine to solve olympiad geometry problems, reaching near gold-medal level on a benchmark of 30 problems.

    Open sourceReasoningScience

2023

2022

  • Apr 4, 2022 PaLM

    PaLM is a 540-billion-parameter dense Transformer language model announced by Google Research in April 2022, trained with the Pathways system across 6,144 TPU v4 chips; it set strong few-shot results on many benchmarks.

    Large language modelsResearch historyReasoning

2021

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