Weekly archive

New local AI models, Sep 14–20, 2026

7 open models released Sep 14–20, 2026, with how each runs on five reference devices.

  1. Step 5 Preview (600B-A27B)

    StepFun · LLM · 604B (27.0B active) ·

    81Great quality (A) · 81 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. Muse Spark Open (816B-A42B)

    Meta · LLM · 822B (42.0B active) ·

    67Good quality (B) · 67 of 100: how capable the model is at Q2_K, 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

  3. Qwen-Image 2.1

    Alibaba · Image · 7.1B ·

    93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, 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

  4. Ming-Image 0.1 Design

    Ant Group (inclusionAI) · Image · 6.2B ·

    86Excellent quality (A+) · 86 of 100: how capable the model is at FP16, 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. Mellum2.1 Thinking (12B-A2.5B)

    JetBrains · LLM · 12B (2.5B active) ·

    70Great quality (A) · 70 of 100: how capable the model is at F16, 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

  6. Laya

    Convai Innovations · Decision · 420M ·

    68Good quality (B) · 68 of 100: how capable the model is at F16, 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

  7. Laya Multilingual

    Convai Innovations · Decision · 320M ·

    60Good quality (B) · 60 of 100: how capable the model is at F16, 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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