AINewsnow

Mimo v2.6-Flash-RL vs open-weight models

This story is from 2026-09-21. It is preserved in the archive; the latest stories are on the live feed.

Since there’s no comparison chart on the model page, I asked Perplexity to compare it against some relatively small open-weight models in a similar size range. Here are the results. Upd. Terminal-Bench 4.0 results: MiMo‑V2.6‑Flash‑RL — 28.8% DeepSeek‑V4‑Flash‑0731 — 12.0% Qwen3.8‑Flash‑Next — 25.3%…

Read the full story at r/LocalLLaMA ↗

Timeline · 1 report

  1. 2026-09-21 20:54 · r/LocalLLaMA
    Mimo v2.6-Flash-RL vs open-weight models

More stories

  1. DeepSeek-V4-Flash-0731 at ~40–50 tok/s on 2× Radeon AI PRO R9700 with the affinity engine (prebuilt quant + fixes) — r/LocalLLaMA
  2. DeepSeek details DSec sandbox infrastructure for agent training — TechNode
  3. [AINews] Xiaomi MiMo-V2.6-Pro 1T-A42B: the new top Open Weights model, trained for $3M — Latent Space
  4. Model grafting: turning Qwen3.5-4B into a causal encoder-decoder after the fact — r/LocalLLaMA
  5. Jev's calibration was measured. The LLMs won [D] — r/MachineLearning
  6. My local 27B model made a complete picture book, checked its own image text, fixed a bad page, and exported the PDF — r/LocalLLM
  7. What I've Learned About DeepSeek Harness — KDnuggets
  8. Google invented the Transformer, so why does using Gemini still feel like a chore? — r/ArtificialInteligence

Get the daily brief of stories like this at 6:30 every morning →