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 | 4B |
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. | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 59.5% |
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. | — | 18.1% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 72.41% |
IFBenchInstruction following — Tests whether the AI can follow detailed instructions and satisfy multiple constraints at once. Higher is better. | — | 77.94% |
| Overview | ||
| Company | Mistral | NVIDIA |
| Release date | May 29 2024 | Oct 16 2026 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Codestral 22BvsClaude Fable 5.2Nemotron Labs Dory 1.0 4BvsClaude Fable 5.2Codestral 22BvsGPT-6.1 TerraNemotron Labs Dory 1.0 4BvsGPT-6.1 TerraCodestral 22BvsGemini 4 CarbonNemotron Labs Dory 1.0 4BvsGemini 4 CarbonCodestral 22BvsMuse EmberNemotron Labs Dory 1.0 4BvsMuse EmberCodestral 22BvsGrok 4.7Nemotron Labs Dory 1.0 4BvsGrok 4.7Codestral 22BvsDeepSeek-V4.1-Flash-1017Nemotron Labs Dory 1.0 4BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Codestral 22B and Nemotron Labs Dory 1.0 4B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Codestral 22B shipped 870 days before Nemotron Labs Dory 1.0 4B, so benchmark comparisons should account for the intervening progress.
Codestral 22B has 22B parameters, while Nemotron Labs Dory 1.0 4B has 4B. Context windows are 32k (Codestral 22B) vs 256k (Nemotron Labs Dory 1.0 4B).
Direct benchmark comparisons are unavailable — Codestral 22B and Nemotron Labs Dory 1.0 4B don't publish scores on any of the same benchmarks.