Claude 2vsKimi K2.6
Claude 2 | Kimi K2.6 | |
|---|---|---|
| Specifications | ||
Parameters | — | 1T |
Context window | 100k | 256k |
| Benchmarks | ||
Nonsense detection BullshitBench v2Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | — | 65% |
Coding SWE-Bench VerifiedReal coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 80.2% |
Agentic coding CursorBench v3.1Cursor's own test of harder, real-world coding tasks inside a code editor. Higher is better. | — | 47.6% |
Next.js coding Next.js EvalsVercel's open eval of how well AI coding agents build and migrate real Next.js apps — measured as the share of tasks the agent completes successfully. Higher is better. | — | 67% |
Competitive coding LiveCodeBenchCoding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 89.6% |
Function synthesis HumanEval164 small Python problems: the AI is given a function's description and has to write the working function. This was the coding benchmark of the GPT-3.5 and GPT-4 era, before the field moved to fixing real bugs in real repositories. Higher is better. | 71.2% | — |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 90.5% |
General knowledge MMLUA 57-subject multiple-choice exam — history, law, medicine, maths — that was the standard measure of how much a model knows from 2020 until roughly 2024, when frontier scores crowded into the high 80s and labs moved on to harder tests. The scores here were published years apart under different testing setups, so read them as a historical record rather than a like-for-like ranking. Higher is better. | 78.5% | — |
Grade-school math GSM8KGrade-school maths word problems that take a few steps of arithmetic to work through. It separated the models of 2022 and 2023 sharply, then saturated. One caveat on the historical numbers: OpenAI included part of the GSM8K training set in GPT-4's pre-training mix, so GPT-4's score is not a clean few-shot result. Higher is better. | 88% | — |
Community preference Arena Elo (Text)Real people chat with two anonymous AIs side by side and vote for the answer they prefer. Votes become a chess-style Elo rating on arena.ai — it measures which AI people actually like, not test scores. Higher is better. | — | 1461 |
Community preference (code) Arena Elo (Code)Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better. | — | 1513 |
| Overview | ||
| Company | Anthropic | Moonshot AI |
| Release date | Jul 11 2023 | Apr 21 2026 |
| Access | Proprietary | Open Weight |
Which is better: Claude 2 or Kimi K2.6?
Claude 2 and Kimi K2.6 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 2 shipped 1015 days before Kimi K2.6, so benchmark comparisons should account for the intervening progress.
Context windows are 100k (Claude 2) vs 256k (Kimi K2.6). Claude 2 is proprietary, while Kimi K2.6 is open weight.
Direct benchmark comparisons are unavailable — Claude 2 and Kimi K2.6 don't publish scores on any of the same benchmarks.
Frequently asked questions
Claude 2 was released by Anthropic on Jul 11 2023.
Kimi K2.6 was released by Moonshot AI on Apr 21 2026.
Claude 2 has a 100k context window; Kimi K2.6 has 256k.
Claude 2 is a proprietary model released by Anthropic. Kimi K2.6 is an open weight model released by Moonshot AI.
Other comparisons
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