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 · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $1.00 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $2.00 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $0.20 |
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. | $0.60Novita | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $2.50Novita | — |
| 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. | 65.8% | 70.8% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 75.1% | — |
| Overview | ||
| Company | Moonshot AI | SpaceXAI |
| Release date | Sep 5 2025 | Aug 28 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Kimi K2 (0905)vsClaude Haiku 5.5Grok Code Fast 1vsClaude Haiku 5.5Kimi K2 (0905)vsGPT-6.1 SolGrok Code Fast 1vsGPT-6.1 SolKimi K2 (0905)vsGemini 4 ArgonGrok Code Fast 1vsGemini 4 ArgonKimi K2 (0905)vsMuse Spark 1.3Grok Code Fast 1vsMuse Spark 1.3Kimi K2 (0905)vsDeepSeek-V4.1-FlashGrok Code Fast 1vsDeepSeek-V4.1-FlashKimi K2 (0905)vsMistral Large 4Grok Code Fast 1vsMistral Large 4Frequently asked questions
Grok Code Fast 1 leads Kimi K2 (0905) on 1 of the 1 benchmark they both report (SWE-Bench Verified). Only Grok Code Fast 1 has a verified first-party API price: $1.00 per million input tokens and $2.00 per million output tokens. No pay-as-you-go API rate is tracked for Kimi K2 (0905). Grok Code Fast 1 shipped 8 days before Kimi K2 (0905), so benchmark comparisons should account for the intervening progress.
Kimi K2 (0905) is open weight, while Grok Code Fast 1 is closed.
On SWE-Bench Verified, Grok Code Fast 1 leads at 70.8% vs Kimi K2 (0905) at 65.8%.