Weekly archive

New local AI models, Sep 15–21, 2025

10 open models released Sep 15–21, 2025, with how each runs on five reference devices.

  1. Jina Reranker v3

    Jina AI · Decision · 600M ·

    84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  2. gpt-oss-safeguard 120B

    OpenAI · Decision · 117B (5.1B active) ·

    80Great quality (A) · 80 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  3. Ring Flash 2.0 (100B-A6B)

    Ant Group (inclusionAI) · LLM · 103B (6.1B active) ·

    78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  4. Ling Flash 2.0 (100B-A6B)

    Ant Group (inclusionAI) · LLM · 103B (6.1B active) ·

    76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  5. gpt-oss-safeguard 20B

    OpenAI · Decision · 22B (3.6B active) ·

    76Great quality (A) · 76 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  6. Qwen3-Omni 30B-A3B Instruct

    Alibaba · LLM · 35B (3.3B active) ·

    70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  7. Granite 4.0 H Small (32B-A9B)

    IBM · LLM · 32B (9.0B active) ·

    62Good quality (B) · 62 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  8. Granite 4.0 H Tiny (7B-A1B)

    IBM · LLM · 6.9B (1.0B active) ·

    44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  9. Granite 4.0 Micro (3B)

    IBM · LLM · 3.4B ·

    40Fair quality (C) · 40 of 100: how capable the model is at F16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  10. Granite 4.0 H Micro

    IBM · LLM · 3.2B ·

    38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

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