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 | 74B |
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. | 32k | 256k |
| These models have no shared benchmark scores. | ||
Terminal-Bench 2.1Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | — | 50.98% |
MCP AtlasMulti-step tool use — Can the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better. | — | 52.2% |
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better. | — | 66.75% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 86.43% |
| Overview | ||
| Company | Mistral | NVIDIA |
| Release date | May 29 2024 | Oct 15 2026 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Codestral 22BvsClaude Haiku 5.5Nemotron 3.5 Bolt 74BvsClaude Haiku 5.5Codestral 22BvsGPT-6.1 SolNemotron 3.5 Bolt 74BvsGPT-6.1 SolCodestral 22BvsGemini 4 ArgonNemotron 3.5 Bolt 74BvsGemini 4 ArgonCodestral 22BvsMuse Spark OpenNemotron 3.5 Bolt 74BvsMuse Spark OpenCodestral 22BvsGrok 4.7Nemotron 3.5 Bolt 74BvsGrok 4.7Codestral 22BvsDeepSeek-V4.1-Flash-1017Nemotron 3.5 Bolt 74BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Codestral 22B and Nemotron 3.5 Bolt 74B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Codestral 22B shipped 869 days before Nemotron 3.5 Bolt 74B, so benchmark comparisons should account for the intervening progress.
Codestral 22B has 22B parameters, while Nemotron 3.5 Bolt 74B has 74B. Context windows are 32k (Codestral 22B) vs 256k (Nemotron 3.5 Bolt 74B). Codestral 22B is closed, while Nemotron 3.5 Bolt 74B is open weight.
Direct benchmark comparisons are unavailable — Codestral 22B and Nemotron 3.5 Bolt 74B don't publish scores on any of the same benchmarks.