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. | — | 22B |
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. | 1M | 32k |
| Overview | ||
| Company | Mistral | |
| Release date | Feb 5 2025 | May 29 2024 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Gemini 2.0 Flash-LitevsClaude Haiku 5.5Codestral 22BvsClaude Haiku 5.5Gemini 2.0 Flash-LitevsGPT-6.1 SolCodestral 22BvsGPT-6.1 SolGemini 2.0 Flash-LitevsMuse Spark OpenCodestral 22BvsMuse Spark OpenGemini 2.0 Flash-LitevsGrok 4.7Codestral 22BvsGrok 4.7Gemini 2.0 Flash-LitevsDeepSeek-V4.1-Flash-1017Codestral 22BvsDeepSeek-V4.1-Flash-1017Gemini 2.0 Flash-LitevsKimi K3Codestral 22BvsKimi K3Frequently asked questions
Gemini 2.0 Flash-Lite and Codestral 22B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Codestral 22B shipped 252 days before Gemini 2.0 Flash-Lite, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 2.0 Flash-Lite) vs 32k (Codestral 22B).
Direct benchmark comparisons are unavailable — Gemini 2.0 Flash-Lite and Codestral 22B don't publish scores on any of the same benchmarks.