HLE
34.7 score
AI Leaderboard · Open Weight
Kimi K2.6 benchmarks, pricing, and ranking.
Rank #10AskClash overall score: 58.6
$0.95 / $4.00Input and output token price, when published. Context: 256K.
APIBilling and access path cached for this model row.
Kimi K2.6 benchmark snapshot
AskClash combines public benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.
Overall58.6
Benchmark cells13
Context256K
CreatorMoonshot AI
Public benchmark scores
Only benchmark columns with cached public values are shown here. Missing cells remain blank in the live table.
GPQA
90.5 score
SWE-bench
80.2 score
SWE-Pro
27.3 score
Terminal-Bench
64.3 score
LiveCodeBench
89.6 score
OSWorld
73.1 score
MCP Atlas
55.9 score
CharXiv
80.4 score
MMMU-Pro
79.4 score
Tau2
95.9 score
Related model comparisons
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Related AI and tech coverage
Cached AskClash article matches that can provide release, provider, or market context around this model.
Kimi K2.6 🚀, Codex Chronicle 🤖, Bezos’ $10B AI fundraise 💰
Kimi K2.6 🚀, Codex Chronicle 🤖, Bezos’ $10B AI fundraise 💰 TLDR Newsletters Advertise TLDR TLDR AI 2026-04-21 Kimi K2.6 🚀, Codex Chronicle 🤖, Bezos’ $10B AI fundraise 💰 Your AI agents are already operating outside scope (Sponsor) New Cloud Security Alliance (CSA) research makes it clear: 47% of organizations have already experienced a security incident involving an AI agent. 53% report agents regularly exceeding intended permissions. And 87% of enterprises run two or more AI agent platforms. Eve
Latest open artifacts (#21): Open model bonanza! Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, GLM-5.1 & others. On CAISI's V4 assessment.
Nathan Lambert - Interconnects
[AINews] Moonshot Kimi K2.6: the world's leading Open Model refreshes to catch up to Opus 4.6 (ahead of DeepSeek v4?)
Latent Space
SGLang — RadixAttention Inference Server v0.5.11 Release Notes
- **CUDA 13 + Torch 2.11**: Default CUDA version moves to 13.0 across SGLang, sgl-kernel, and Docker images, and PyTorch is upgraded from 2.9 to 2.11 — modernizing the build matrix and unlocking newer kernels: #21247, #24162, #24183, #23593 ([tracking issue #21498](https://github.com/sgl-project/sglang/issues/21498)) - **Day-0 / New Model Support**: Gemma 4, GLM-5.1, Qwen3.6, MiMo-V2.5 / V2.5-Pro, Ling-2.6-Flash, Mistral Medium 3.5, and Kimi-K2.6 — with cookbook recipes for tuned deployment comm
Last cached leaderboard date: May 22, 2026. This model page is generated from the AskClash AI Leaderboard cache and linked from the live leaderboard.