Weekly archive

New local AI models, Oct 26 – Nov 1, 2026

10 open models released Oct 26 – Nov 1, 2026, with how each runs on five reference devices.

  1. Ling 3.1 Flash 1019 (560B-A25B)

    Ant Group (inclusionAI) · LLM · 572B (25.0B active) ·

    92Excellent quality (A+) · 92 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. NorthCUA Pro

    beipo-ai · LLM · 397B (17.0B active) ·

    75Great quality (A) · 75 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.
    New

    Runs on

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

  3. SenseNova Loop 9B Preview

    SenseTime · LLM · 9.7B ·

    78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.
    New

    Runs on

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

  4. Mage-VL-Cowork 4.7B

    Microsoft · LLM · 4.7B ·

    60Good quality (B) · 60 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.
    New

    Runs on

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

  5. NorthCUA Mini

    beipo-ai · LLM · 35B (3.0B active) ·

    59Good quality (B) · 59 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.
    New

    Runs on

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

  6. NorthCUA Nano

    beipo-ai · LLM · 9.4B ·

    52Fair quality (C) · 52 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.
    New

    Runs on

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

  7. GLiDE 9B

    Fastino · LLM · 7.9B ·

    50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.
    New

    Runs on

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

  8. Unlimited OCR 2 (3B-A0.6B)

    Baidu · LLM · 3.3B (0.6B active) ·

    44Fair quality (C) · 44 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  9. GLiDE 2B

    Fastino · LLM · 1.9B ·

    17Basic quality (D) · 17 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking.
    New

    Runs on

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

  10. GLiDE 0.8B

    Fastino · LLM · 0.8B ·

    11Basic quality (D) · 11 of 100: how capable the model is at F16, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking.
    New

    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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