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 | 256k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. 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 third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $2.50Google |
These models have no shared benchmark scores. | ||
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. | — | 71.3% |
| Overview | ||
| Company | Mistral | Moonshot AI |
| Release date | Jan 13 2025 | Nov 6 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Codestral 25.01vsClaude Haiku 5.5Kimi K2 ThinkingvsClaude Haiku 5.5Codestral 25.01vsGPT-6.1 SolKimi K2 ThinkingvsGPT-6.1 SolCodestral 25.01vsGemini 4 ArgonKimi K2 ThinkingvsGemini 4 ArgonCodestral 25.01vsMuse Spark 1.3Kimi K2 ThinkingvsMuse Spark 1.3Codestral 25.01vsGrok 4.7Kimi K2 ThinkingvsGrok 4.7Codestral 25.01vsDeepSeek-V4.1-FlashKimi K2 ThinkingvsDeepSeek-V4.1-FlashFrequently asked questions
Codestral 25.01 and Kimi K2 Thinking don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Codestral 25.01 shipped 297 days before Kimi K2 Thinking, so benchmark comparisons should account for the intervening progress.
Context windows are 256k (Codestral 25.01) vs 256k (Kimi K2 Thinking). Codestral 25.01 is closed, while Kimi K2 Thinking is open weight.
Direct benchmark comparisons are unavailable — Codestral 25.01 and Kimi K2 Thinking don't publish scores on any of the same benchmarks.