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Kimi K2 6 The New Leading Open Weights Model

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artificialanalysis.ai
Author
Artificial Analysis articles
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Why it matters

Kimi K2.6 is a 1T-parameter open-weights model ranking fourth overall with a 39% hallucination rate, available through several third-party API providers.

Key takeaways · AI-distilled
  • Kimi K2.6 reached a GDPval-AA Elo of 1520, up from 1309 for Kimi K2.5, measured in Artificial Analysis's open-source Stirrup with code execution and web browsing. It holds 96% on τ²-Bench Telecom.
  • Its rate fell to 39% from Kimi K2.5's 65%, similar to Claude Opus 4.7 (36%) and MiniMax-M2.7 (34%), meaning it more often abstains when uncertain.
  • Kimi K2.6 used about 160M reasoning tokens to run the full index, slightly below Claude Sonnet 4.6 (~190M) but well above GPT 5.4 (~110M).
  • It keeps the 1T-total, 32B-active design of Kimi K2 Thinking and K2.5, adds native image and video input with a 256K , and is served by Moonshot plus Novita, Baseten, Fireworks and Parasail.
Terms in this piece · Glossary
  • hallucination — When a model states something false with full confidence — inventing facts, citations, or APIs that don't exist.
  • agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
  • mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
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