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 | 48B |
| 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 | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.201Cloudflare | — |
| Overview | ||
| Company | Meta | Moonshot AI |
| Release date | Sep 25 2024 | Oct 30 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
LLaMA 3.2vsClaude Haiku 5.5Kimi LinearvsClaude Haiku 5.5LLaMA 3.2vsGPT-6.1 SolKimi LinearvsGPT-6.1 SolLLaMA 3.2vsGemini 4 ArgonKimi LinearvsGemini 4 ArgonLLaMA 3.2vsGrok 4.7Kimi LinearvsGrok 4.7LLaMA 3.2vsDeepSeek-V4.1-FlashKimi LinearvsDeepSeek-V4.1-FlashLLaMA 3.2vsMistral Large 4Kimi LinearvsMistral Large 4Frequently asked questions
LLaMA 3.2 and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 3.2 shipped 400 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
LLaMA 3.2 has 1B/3B parameters, while Kimi Linear has 48B.
Direct benchmark comparisons are unavailable — LLaMA 3.2 and Kimi Linear don't publish scores on any of the same benchmarks.