Weekly archive

New local AI models, Jan 12–18, 2026

4 open models released Jan 12–18, 2026, with how each runs on five reference devices.

  1. Baichuan M3 235B-A22B

    Baichuan · LLM · 235B (22.0B active) ·

    79Great quality (A) · 79 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. FLUX.2 [klein] 9B

    Black Forest Labs · Image · 9.1B ·

    84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. FLUX.2 [klein] 4B

    Black Forest Labs · Image · 3.9B ·

    78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  4. Falcon-H1 Tiny 90M Instruct

    TII · LLM · 0.1B ·

    3Basic quality (D) · 3 of 100: how capable the model is at F16, whatever it runs on. Match score 43/100 (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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