Weekly archive

New local AI models, Mar 9–15, 2026

4 open models released Mar 9–15, 2026, with how each runs on five reference devices.

  1. Gemma 4 26B-A4B

    Google · LLM · 26B (3.8B active) ·

    92Excellent quality (A+) · 92 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. Gemma 4 31B

    Google · LLM · 31B ·

    86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. Nemotron 3 Super 120B-A12B

    NVIDIA · LLM · 124B (12.0B active) ·

    87Excellent quality (A+) · 87 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  4. Leanstral 119B-A6B

    Mistral AI · LLM · 119B (6.5B active) ·

    74Great quality (A) · 74 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

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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