Weekly archive

New local AI models, Feb 23 – Mar 1, 2026

8 open models released Feb 23 – Mar 1, 2026, with how each runs on five reference devices.

  1. Qwen3.5 27B

    Alibaba · LLM · 28B ·

    88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, 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

  2. Qwen3.5 35B-A3B

    Alibaba · LLM · 36B (3.0B active) ·

    93Excellent quality (A+) · 93 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. Qwen3.5 122B-A10B

    Alibaba · LLM · 125B (10.0B active) ·

    91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  4. Qwen3.5 9B

    Alibaba · LLM · 9.7B ·

    76Great quality (A) · 76 of 100: how capable the model is at Q8_0, 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

  5. Qwen3.5 4B

    Alibaba · LLM · 4.7B ·

    62Good quality (B) · 62 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  6. LFM2 24B-A2B

    Liquid AI · LLM · 24B (2.3B active) ·

    56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  7. Qwen3.5 2B

    Alibaba · LLM · 2.3B ·

    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

  8. Qwen3.5 0.8B

    Alibaba · LLM · 0.9B ·

    26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (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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