Weekly archive

New local AI models, Jun 8–14, 2026

4 open models released Jun 8–14, 2026, with how each runs on five reference devices.

  1. Kimi K3 (2.8T)

    Moonshot AI · LLM · 2,780B (104.0B active) ·

    68Good quality (B) · 68 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. Kimi K2.7 Code (1T)

    Moonshot AI · LLM · 1,027B (32.0B active) ·

    66Good quality (B) · 66 of 100: how capable the model is at Q2_K, 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

  3. SCAIL-2 14B (character animation)

    Zhipu AI · Video · 16.4B ·

    80Great quality (A) · 80 of 100: how capable the model is at FP16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  4. DiffusionGemma 26B-A4B IT

    Google · LLM · 26B (4.0B active) ·

    78Great quality (A) · 78 of 100: how capable the model is at F16, 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

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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