Model comparison
Codestral vs Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 30.6 on the Noometry Index. Codestral costs 10× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Mistral AI
GoogleSummary
- They share 1 benchmark with published results for both. Codestral scores higher in 0 categories and Gemini 3.1 Pro Preview in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 19.8.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 256K.
Side by side
| Codestral | Gemini 3.1 Pro Preview | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 30.6 | 56.7 |
| Released | 2024-05-29 | 2026-02-19 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | 1.05M |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.30 | $2 |
| Output $ / M tokens | $0.90 | $12 |
| Results tracked | 7 | 71 |
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Category by category
Coding Gemini 3.1 Pro Preview leads
Codestral: 27.3 (#321), Gemini 3.1 Pro Preview: 42.5 (#99)
| Benchmark | Codestral | Gemini 3.1 Pro Preview |
|---|---|---|
| ALE-Bench | 137.78 | 1,161 |
| SWE-bench Verified | — | 75.6% |
| DeepSWE | — | 11.7% |
| Aider Polyglot | 11.1% | — |
| LMArena WebDev | — | 1447 |
| SciCode | — | 58.9% |
| GSO | — | 22.6% |
| WeirdML | — | 72.1% |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1484 |
| MirrorCode | — | 8.9% |
| BigCodeBench Complete | 52.5% | — |
| AlgoTune | — | 2.02 |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Agentic & Tool Use Not comparable
Codestral: —, Gemini 3.1 Pro Preview: 37.7 (#34)
| Benchmark | Codestral | Gemini 3.1 Pro Preview |
|---|---|---|
| Terminal-Bench | — | 80.2% |
| APEX-Agents | — | 35.3% |
| τ²-bench Banking | — | 26% |
| DeepResearch Bench | — | 47.8% |
| PostTrainBench | — | 22% |
| BALROG | — | 57% |
| ExploitBench | — | 26.1% |
| GBAEval | — | 0.8% |
| GDP.pdf | — | 17% |
| LMArena Search | — | 1211 |
| METR Time Horizons | — | 77% |
| Vending-Bench 2 | — | 3,774 |
Reasoning Gemini 3.1 Pro Preview leads
Codestral: 19.8 (#251), Gemini 3.1 Pro Preview: 71.7 (#12)
| Benchmark | Codestral | Gemini 3.1 Pro Preview |
|---|---|---|
| ARC-AGI-2 | — | 77.1% |
| SimpleBench | — | 79.6% |
| Kagi LLM Benchmark | 32.5% | — |
| NYT Connections (extended) | — | 97.4% |
| ARC-AGI-1 | — | 98% |
| CritPt | — | 17.7% |
| Chess Puzzles | — | 55% |
| EnigmaEval | — | 36.8% |
| Thematic Generalization | — | 79.4% |
| EBR-Bench | — | 14.3% |
| LMArena Hard Prompts | — | 1485 |
| Mystery Game Puzzles | — | 34% |
| DTBench | — | 97.1% |
| LMCA | — | 53.8% |
| Epoch Capabilities Index | — | 154.77 |
| ForecastBench | — | 59 |
Math Not comparable
Codestral: —, Gemini 3.1 Pro Preview: 62.1 (#34)
| Benchmark | Codestral | Gemini 3.1 Pro Preview |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 59.6% |
| FrontierMath Tier 4 | — | 26.8% |
| MathArena Final-Answer Competitions | — | 86.5% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
| LMArena Math | — | 1485 |
| FrontierMath (Feb 2025 set) | — | 36.9% |
| FrontierMath Tier 4 (v1) | — | 16.7% |
Knowledge Not comparable
Codestral: —, Gemini 3.1 Pro Preview: 71.8 (#3)
| Benchmark | Codestral | Gemini 3.1 Pro Preview |
|---|---|---|
| GPQA Diamond | — | 94.4% |
| Humanity's Last Exam | — | 46.4% |
| SimpleQA Verified | — | 73.5% |
| Vectara Hallucination Rate | — | 10.4% |
| LMArena Expert | — | 1485 |
Multimodal Not comparable
Codestral: —, Gemini 3.1 Pro Preview: 37.9 (#69)
| Benchmark | Codestral | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Vision | — | 1296 |
| Blueprint-Bench 2 | — | 26.5% |
| Furniture Assembly | — | 26.7% |
| LMArena Document | — | 1444 |
Multilingual Not comparable
Codestral: —, Gemini 3.1 Pro Preview: 57.0 (#12)
| Benchmark | Codestral | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Non-English | — | 1477 |
| LMArena Chinese | — | 1529 |
| LMArena French | — | 1487 |
| LMArena German | — | 1491 |
| LMArena Japanese | — | 1493 |
| LMArena Korean | — | 1455 |
| LMArena Russian | — | 1498 |
| LMArena Spanish | — | 1479 |
Instruction Following Not comparable
Codestral: —, Gemini 3.1 Pro Preview: 77.0 (#32)
| Benchmark | Codestral | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Instruction Following | — | 1466 |
Long Context Not comparable
Codestral: —, Gemini 3.1 Pro Preview: 47.4 (#18)
| Benchmark | Codestral | Gemini 3.1 Pro Preview |
|---|---|---|
| CL-bench | — | 20.8% |
| CL-bench Life | — | 16.9% |
| LMArena Longer Query | — | 1483 |
Writing & Preference Not comparable
Codestral: —, Gemini 3.1 Pro Preview: 66.1 (#37)
| Benchmark | Codestral | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Text | — | 1481 |
| LMArena Creative Writing | — | 1482 |
| EQ-Bench Creative Writing | — | 1491 |
| EQ-Bench 4 | — | 1142 |
| LMArena Multi-Turn | — | 1488 |
Frequently asked questions
Is Codestral better than Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 30.6 on the Noometry Index. Codestral costs 10× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Which is cheaper, Codestral or Gemini 3.1 Pro Preview?
Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.
Is Codestral or Gemini 3.1 Pro Preview better for coding?
Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 27.3 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Pro Preview does, with 1.05M tokens against 256K.
How many benchmarks do Codestral and Gemini 3.1 Pro Preview share?
1 benchmark has published results for both models. Codestral has 7 scored results on Noometry and Gemini 3.1 Pro Preview has 71.