Compare AI models
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | — | 1T |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | — | 256k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $0.60Google |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $2.50Google |
| — | $245Novita · bf16 | |
| Benchmarks | ||
SWE-Bench VerifiedCoding — Real 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. | 62.3% | 71.3% |
BullshitBench v2Nonsense detection — Given 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. | 49% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 68% | — |
| Overview | ||
| Company | Anthropic | Moonshot AI |
| Release date | Feb 24 2025 | Nov 6 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 3.7 SonnetvsGPT-6.1 SolKimi K2 ThinkingvsGPT-6.1 SolClaude 3.7 SonnetvsGemini 4 ArgonKimi K2 ThinkingvsGemini 4 ArgonClaude 3.7 SonnetvsMuse WonderKimi K2 ThinkingvsMuse WonderClaude 3.7 SonnetvsGrok 4.7Kimi K2 ThinkingvsGrok 4.7Claude 3.7 SonnetvsDeepSeek-V4.1-FlashKimi K2 ThinkingvsDeepSeek-V4.1-FlashClaude 3.7 SonnetvsMistral Large 4Kimi K2 ThinkingvsMistral Large 4Frequently asked questions
Kimi K2 Thinking leads Claude 3.7 Sonnet on 1 of the 1 benchmark they both report (SWE-Bench Verified). Claude 3.7 Sonnet shipped 255 days before Kimi K2 Thinking, so benchmark comparisons should account for the intervening progress.
Claude 3.7 Sonnet is closed, while Kimi K2 Thinking is open weight.
On SWE-Bench Verified, Kimi K2 Thinking leads at 71.3% vs Claude 3.7 Sonnet at 62.3%.