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. | 1B/3B | 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. | $0.027Cloudflare | $0.60Google |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.201Cloudflare | $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 | Sep 25 2024 | Nov 6 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
LLaMA 3.2vsClaude Haiku 5.5Kimi K2 ThinkingvsClaude Haiku 5.5LLaMA 3.2vsGPT-6.1 SolKimi K2 ThinkingvsGPT-6.1 SolLLaMA 3.2vsGemini 4 ArgonKimi K2 ThinkingvsGemini 4 ArgonLLaMA 3.2vsGrok 4.7Kimi K2 ThinkingvsGrok 4.7LLaMA 3.2vsDeepSeek-V4.1-FlashKimi K2 ThinkingvsDeepSeek-V4.1-FlashLLaMA 3.2vsMistral Large 4Kimi K2 ThinkingvsMistral Large 4Frequently asked questions
LLaMA 3.2 and Kimi K2 Thinking don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 3.2 shipped 407 days before Kimi K2 Thinking, so benchmark comparisons should account for the intervening progress.
LLaMA 3.2 has 1B/3B parameters, while Kimi K2 Thinking has 1T.
Direct benchmark comparisons are unavailable — LLaMA 3.2 and Kimi K2 Thinking don't publish scores on any of the same benchmarks.