Model comparison
Codestral vs Gemini 2.0 Flash (Feb 2025)
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 30.6 on the Noometry Index.
Last verified . 4 shared benchmarks.
Mistral AI
GoogleSummary
- They share 4 benchmarks with published results for both. Codestral scores higher in 1 category and Gemini 2.0 Flash (Feb 2025) in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Codestral leads 19.8 to 15.2.
- The biggest single-benchmark swing is Aider Polyglot: 11.1% for Codestral and 38.2% for Gemini 2.0 Flash (Feb 2025).
Side by side
| Codestral | Gemini 2.0 Flash (Feb 2025) | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 30.6 | 35.1 |
| Released | 2024-05-29 | 2024-12-06 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 54 |
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Category by category
Coding Gemini 2.0 Flash (Feb 2025) leads
Codestral: 27.3 (#321), Gemini 2.0 Flash (Feb 2025): 28.4 (#315)
| Benchmark | Codestral | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| Aider Polyglot | 11.1% | 38.2% |
| BigCodeBench Instruct | 41.8% | 45.9% |
| BigCodeBench Complete | 52.5% | 59.9% |
| SWE-bench Verified (bash only) | — | 13.5% |
| WeirdML | — | 25.8% |
| LiveBench Coding | — | 63.4% |
| LMArena Coding | — | 1350 |
| CadEval | — | 30% |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Agentic & Tool Use Not comparable
Codestral: —, Gemini 2.0 Flash (Feb 2025): 28.1 (#92)
| Benchmark | Codestral | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| TheAgentCompany | — | 11.4% |
Reasoning Codestral leads
Codestral: 19.8 (#251), Gemini 2.0 Flash (Feb 2025): 15.2 (#318)
| Benchmark | Codestral | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | 37.8% |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 31.1% |
| EnigmaEval | — | 1.1% |
| LiveBench Reasoning | — | 78.2% |
| LMArena Hard Prompts | — | 1346 |
| DTBench | — | 63.2% |
| LiveBench Data Analysis | — | 69.4% |
| Epoch Capabilities Index | — | 135.36 |
| LiveBench | — | 66.9% |
Math Not comparable
Codestral: —, Gemini 2.0 Flash (Feb 2025): 37.9 (#146)
| Benchmark | Codestral | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 57.8% |
| Omni-MATH | — | 45.9% |
| LiveBench Math | — | 75.8% |
| LMArena Math | — | 1352 |
| MATH Level 5 | — | 82.2% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
Knowledge Not comparable
Codestral: —, Gemini 2.0 Flash (Feb 2025): 32.0 (#213)
| Benchmark | Codestral | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| GPQA Diamond | — | 64.1% |
| Humanity's Last Exam | — | 6.6% |
| MMLU-Pro | — | 73.7% |
| Confabulations | — | 12.4% |
| GPQA (HELM) | — | 55.6% |
| LMArena Expert | — | 1339 |
| MMLU | — | 79.7% |
Multimodal Not comparable
Codestral: —, Gemini 2.0 Flash (Feb 2025): 36.5 (#79)
| Benchmark | Codestral | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Vision | — | 1158 |
| GeoBench | — | 77% |
Multilingual Not comparable
Codestral: —, Gemini 2.0 Flash (Feb 2025): 47.4 (#149)
| Benchmark | Codestral | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Non-English | — | 1342 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1391 |
| LMArena German | — | 1353 |
| LMArena Japanese | — | 1294 |
| LMArena Korean | — | 1313 |
| LMArena Russian | — | 1351 |
| LMArena Spanish | — | 1363 |
Instruction Following Not comparable
Codestral: —, Gemini 2.0 Flash (Feb 2025): 74.4 (#97)
| Benchmark | Codestral | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LiveBench Instruction Following | — | 85.8% |
| IFEval | — | 84.1% |
| LMArena Instruction Following | — | 1336 |
Long Context Not comparable
Codestral: —, Gemini 2.0 Flash (Feb 2025): 38.1 (#203)
| Benchmark | Codestral | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| Fiction.LiveBench | — | 61.1% |
| LMArena Longer Query | — | 1344 |
Writing & Preference Not comparable
Codestral: —, Gemini 2.0 Flash (Feb 2025): 49.5 (#190)
| Benchmark | Codestral | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Text | — | 1354 |
| LMArena Creative Writing | — | 1340 |
| Short-Story Creative Writing | — | 73.8% |
| EQ-Bench Creative Writing | — | 1128 |
| WildBench | — | 80% |
| LMArena Multi-Turn | — | 1350 |
| LiveBench Language | — | 51.3% |
Frequently asked questions
Is Codestral better than Gemini 2.0 Flash (Feb 2025)?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 30.6 on the Noometry Index.
Is Codestral or Gemini 2.0 Flash (Feb 2025) better for coding?
Gemini 2.0 Flash (Feb 2025) scores higher on coding benchmarks: 28.4 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and Gemini 2.0 Flash (Feb 2025) share?
4 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Gemini 2.0 Flash (Feb 2025) has 54.