Weekly archive

New local AI models, Dec 1–7, 2025

4 open models released Dec 1–7, 2025, with how each runs on five reference devices.

  1. DeepSeek V3.2 (671B)

    DeepSeek · LLM · 685B (37.0B active) ·

    78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, 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

  2. GLM-4.6V

    Zhipu AI · LLM · 108B (12.0B active) ·

    82Great quality (A) · 82 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. Nemotron 3 Nano 30B-A3B

    NVIDIA · LLM · 32B (3.5B active) ·

    77Great quality (A) · 77 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

  4. Trinity Mini (26B-A3B)

    Arcee AI · LLM · 26B (3.0B active) ·

    66Good quality (B) · 66 of 100: how capable the model is at F16, whatever it runs on. Match score 74/100 (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?