Weekly archive

New local AI models, Oct 19–25, 2026

19 open models released Oct 19–25, 2026, with how each runs on five reference devices.

  1. Nanbeige4.3 33B

    BOSS Zhipin (Nanbeige) · LLM · 33B ·

    90Excellent quality (A+) · 90 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. Flint (40B-A2.5B)

    Recursive · LLM · 40B (2.5B active) ·

    90Excellent quality (A+) · 90 of 100: how capable the model is at F16, 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

  3. Raon-1 mini Preview (30B-A4B)

    KRAFTON · LLM · 29B (4.3B active) ·

    88Excellent quality (A+) · 88 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  4. GLiDE 27B

    Fastino · Decision · 26B ·

    86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, 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

  5. Groot 65B A6B 261023

    GrootTeam · LLM · 118B (6.0B active) ·

    70Great quality (A) · 70 of 100: how capable the model is at Q8_0, 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

  6. Ling 3.0 flash Sante

    Ant Group (inclusionAI) · LLM · 127B (5.1B active) ·

    68Good quality (B) · 68 of 100: how capable the model is at Q8_0, 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

  7. Terminal RSI 27B

    Teriminal-RSI · LLM · 28B ·

    64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, 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

  8. Hemmingway 1.5

    Hemmingway · LLM · 27B ·

    63Good quality (B) · 63 of 100: how capable the model is at Q4_K_M, 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

  9. SenseNova 6.8 Code2Video

    SenseTime · LLM · 27B ·

    62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, 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

  10. Spark-X2.6 4B

    SparkLLM · LLM · 4.1B ·

    66Good quality (B) · 66 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.

    Runs on

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

  11. Groot 19B A3B 261023

    GrootTeam · LLM · 19B (3.0B active) ·

    57Good quality (B) · 57 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

  12. LFM3 1.7B

    Liquid AI · LLM · 1.7B ·

    56Good quality (B) · 56 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  13. LFM3-VL 2B

    Liquid AI · LLM · 1.9B ·

    50Fair quality (C) · 50 of 100: how capable the model is at F16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  14. WeVisOne-VL 4B

    Tencent · LLM · 4.8B ·

    45Fair quality (C) · 45 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

  15. MiniCPM-OCR 1.0 1.3B

    OpenBMB · LLM · 1.3B ·

    42Fair quality (C) · 42 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

  16. WeVisOne VL 2B

    Tencent · LLM · 2.4B ·

    27Basic quality (D) · 27 of 100: how capable the model is at F16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  17. d1 2B

    Liquid AI · LLM · 1.9B ·

    21Basic quality (D) · 21 of 100: how capable the model is at F16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  18. Spark X2.6 1.7B

    SparkLLM · LLM · 1.7B ·

    16Basic quality (D) · 16 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.

    Runs on

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

  19. surya ocr 2.5

    Datalab · LLM · 0.7B ·

    15Basic quality (D) · 15 of 100: how capable the model is at F16, whatever it runs on. Match score 48/100 (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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