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Kimi K2.6 benchmarks, pricing, and LLM comparison.

Compare Kimi K2.6 vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.

Rank #11AskClash overall score: 58.3
$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 LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.

Overall58.3
Benchmark cells13
Context256K
CreatorMoonshot AI

Kimi K2.6 public benchmark scores

Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.

HLE

34.7 score

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

Kimi K2.6 vs other AI models

Use these comparison links to evaluate Kimi K2.6 against nearby LLMs by benchmark score, price, context window, and provider.

Related AI and tech coverage

Cached AskClash article matches that can provide release, provider, benchmark, pricing, 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

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 LLM Leaderboard cache and linked from the live leaderboard.