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. | 12B | 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 |
| Overview | ||
| Company | Mistral | Moonshot AI |
| Release date | Sep 11 2024 | Oct 23 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Pixtral 24.09vsClaude Haiku 5.5Kimi K3.1 Pro HighspeedvsClaude Haiku 5.5Pixtral 24.09vsGPT-6.1 SolKimi K3.1 Pro HighspeedvsGPT-6.1 SolPixtral 24.09vsGemini 4 ArgonKimi K3.1 Pro HighspeedvsGemini 4 ArgonPixtral 24.09vsMuse Spark OpenKimi K3.1 Pro HighspeedvsMuse Spark OpenPixtral 24.09vsGrok 4.7Kimi K3.1 Pro HighspeedvsGrok 4.7Pixtral 24.09vsDeepSeek-V4.1-Flash-1017Kimi K3.1 Pro HighspeedvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Pixtral 24.09 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. Pixtral 24.09 shipped 772 days before Kimi K3.1 Pro Highspeed, so benchmark comparisons should account for the intervening progress.
Pixtral 24.09 has 12B parameters, while Kimi K3.1 Pro Highspeed has 2.8T. Context windows are 128k (Pixtral 24.09) vs 1M (Kimi K3.1 Pro Highspeed). Pixtral 24.09 is open weight, while Kimi K3.1 Pro Highspeed is closed.
Direct benchmark comparisons are unavailable — Pixtral 24.09 and Kimi K3.1 Pro Highspeed don't publish scores on any of the same benchmarks.