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. | — | 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. | 256k | 1M |
| Overview | ||
| Company | Mistral | Moonshot AI |
| Release date | Jan 13 2025 | Oct 23 2026 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Codestral 25.01vsClaude Haiku 5.5Kimi K3.1 Pro HighspeedvsClaude Haiku 5.5Codestral 25.01vsGPT-6.1 SolKimi K3.1 Pro HighspeedvsGPT-6.1 SolCodestral 25.01vsGemini 4 ArgonKimi K3.1 Pro HighspeedvsGemini 4 ArgonCodestral 25.01vsMuse Spark OpenKimi K3.1 Pro HighspeedvsMuse Spark OpenCodestral 25.01vsGrok 4.7Kimi K3.1 Pro HighspeedvsGrok 4.7Codestral 25.01vsDeepSeek-V4.1-Flash-1017Kimi K3.1 Pro HighspeedvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Codestral 25.01 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. Codestral 25.01 shipped 648 days before Kimi K3.1 Pro Highspeed, so benchmark comparisons should account for the intervening progress.
Context windows are 256k (Codestral 25.01) vs 1M (Kimi K3.1 Pro Highspeed).
Direct benchmark comparisons are unavailable — Codestral 25.01 and Kimi K3.1 Pro Highspeed don't publish scores on any of the same benchmarks.