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. | 70B | 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 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. | $0.10DeepInfra | $0.60Google |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.32DeepInfra | $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 | Meta | Moonshot AI |
| Release date | Dec 6 2024 | Nov 6 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
LLaMA 3.3vsClaude Haiku 5.5Kimi K2 ThinkingvsClaude Haiku 5.5LLaMA 3.3vsGPT-6.1 SolKimi K2 ThinkingvsGPT-6.1 SolLLaMA 3.3vsGemini 4 ArgonKimi K2 ThinkingvsGemini 4 ArgonLLaMA 3.3vsGrok 4.7Kimi K2 ThinkingvsGrok 4.7LLaMA 3.3vsDeepSeek-V4.1-FlashKimi K2 ThinkingvsDeepSeek-V4.1-FlashLLaMA 3.3vsMistral Large 4Kimi K2 ThinkingvsMistral Large 4Frequently asked questions
LLaMA 3.3 and Kimi K2 Thinking don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 3.3 shipped 335 days before Kimi K2 Thinking, so benchmark comparisons should account for the intervening progress.
LLaMA 3.3 has 70B parameters, while Kimi K2 Thinking has 1T.
Direct benchmark comparisons are unavailable — LLaMA 3.3 and Kimi K2 Thinking don't publish scores on any of the same benchmarks.