Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 671B | 2.8T |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 128k | 1M |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.27SiliconFlow | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.41SiliconFlow | — |
| $74.50SiliconFlow · fp8 | — | |
| Overview | ||
| Company | DeepSeek | Moonshot AI |
| Release date | Sep 29 2025 | Oct 23 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
DeepSeek V3.2 ExpvsClaude Haiku 5.5Kimi K3.1 Pro HighspeedvsClaude Haiku 5.5DeepSeek V3.2 ExpvsGPT-6.1 SolKimi K3.1 Pro HighspeedvsGPT-6.1 SolDeepSeek V3.2 ExpvsGemini 4 ArgonKimi K3.1 Pro HighspeedvsGemini 4 ArgonDeepSeek V3.2 ExpvsMuse Spark OpenKimi K3.1 Pro HighspeedvsMuse Spark OpenDeepSeek V3.2 ExpvsGrok 4.7Kimi K3.1 Pro HighspeedvsGrok 4.7DeepSeek V3.2 ExpvsMistral Large 4Kimi K3.1 Pro HighspeedvsMistral Large 4Frequently asked questions
DeepSeek V3.2 Exp and Kimi K3.1 Pro Highspeed don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V3.2 Exp shipped 389 days before Kimi K3.1 Pro Highspeed, so benchmark comparisons should account for the intervening progress.
DeepSeek V3.2 Exp has 671B parameters, while Kimi K3.1 Pro Highspeed has 2.8T. Context windows are 128k (DeepSeek V3.2 Exp) vs 1M (Kimi K3.1 Pro Highspeed). DeepSeek V3.2 Exp is open weight, while Kimi K3.1 Pro Highspeed is closed.
Direct benchmark comparisons are unavailable — DeepSeek V3.2 Exp and Kimi K3.1 Pro Highspeed don't publish scores on any of the same benchmarks.