Weekly archive

New local AI models, Apr 13–19, 2026

4 open models released Apr 13–19, 2026, with how each runs on five reference devices.

  1. Kimi K2.6 (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

  2. Qwen3.6 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. Granite Guardian 4.1 8B

    IBM · Decision · 8.4B ·

    84Great quality (A) · 84 of 100: how capable the model is at Q8_0, 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

  4. OpenAI Privacy Filter

    OpenAI · Decision · 1.4B (50M active) ·

    78Great quality (A) · 78 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

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.

Was this page helpful?