Weekly archive

New local AI models, Nov 24–30, 2025

5 open models released Nov 24–30, 2025, with how each runs on five reference devices.

  1. Mistral Large 3 (675B)

    Mistral AI · LLM · 675B (41.0B active) ·

    75Great quality (A) · 75 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. Devstral 2 (123B)

    Mistral AI · LLM · 125B ·

    60Good quality (B) · 60 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. Z-Image Turbo

    Alibaba (Tongyi) · Image · 6.2B ·

    84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  4. Nemotron Content Safety Reasoning 4B

    NVIDIA · Decision · 4.3B ·

    77Great quality (A) · 77 of 100: how capable the model is at Q6_K, 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

  5. Devstral Small 2 (24B)

    Mistral AI · LLM · 24B ·

    72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, 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

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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