Weekly archive

New local AI models, Mar 30 – Apr 5, 2026

7 open models released Mar 30 – Apr 5, 2026, with how each runs on five reference devices.

  1. GLM-5.1 (744B-A40B)

    Zhipu AI · LLM · 754B (40.0B active) ·

    66Good quality (B) · 66 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

  2. ERNIE-Image Turbo

    Baidu · Image · 8.0B ·

    85Excellent quality (A+) · 85 of 100: how capable the model is at FP16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. EXAONE 4.5 33B

    LG AI Research · LLM · 34B ·

    77Great quality (A) · 77 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  4. Mistral Medium 3.5 (128B)

    Mistral AI · LLM · 128B ·

    56Good quality (B) · 56 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  5. Trinity Large Thinking (400B-A13B)

    Arcee AI · LLM · 399B (13.0B active) ·

    77Great quality (A) · 77 of 100: how capable the model is at Q5_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

  6. HY-OmniWeaving (8.3B, unified video)

    Tencent · Video · 8.3B ·

    76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  7. LFM2.5 350M

    Liquid AI · LLM · 0.4B ·

    14Basic quality (D) · 14 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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