Model comparison
Gemini 2.0 Pro vs Mistral Large
Gemini 2.0 Pro is the stronger model overall, scoring 39.1 to 31.9 on the Noometry Index.
Last verified . 11 shared benchmarks.
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Mistral AISummary
- They share 11 benchmarks with published results for both. Gemini 2.0 Pro scores higher in 6 categories and Mistral Large in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.0 Pro leads 39.7 to 18.2.
- The biggest single-benchmark swing is MATH Level 5: 83.5% for Gemini 2.0 Pro and 50.3% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Pro | Mistral Large | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 39.1 | 31.9 |
| Released | 2025-02-05 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 14 | 51 |
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Category by category
Coding Gemini 2.0 Pro leads
Gemini 2.0 Pro: 37.8 (#187), Mistral Large: 34.3 (#240)
| Benchmark | Gemini 2.0 Pro | Mistral Large |
|---|---|---|
| LiveBench Coding | 63.5% | 47.1% |
| Aider Polyglot | 35.6% | — |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LMArena Coding | — | 1277 |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Gemini 2.0 Pro: —, Mistral Large: 28.6 (#89)
| Benchmark | Gemini 2.0 Pro | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Gemini 2.0 Pro leads
Gemini 2.0 Pro: 22.3 (#198), Mistral Large: 15.8 (#310)
| Benchmark | Gemini 2.0 Pro | Mistral Large |
|---|---|---|
| LiveBench Reasoning | 60.1% | 43.5% |
| LiveBench Data Analysis | 68% | 50.1% |
| Epoch Capabilities Index | 135.06 | 128.52 |
| LiveBench | 65.1% | 48.4% |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| EnigmaEval | 0.7% | — |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 65.1% |
| LMCA | — | 16.7% |
| ForecastBench | — | 57.1 |
Math Gemini 2.0 Pro leads
Gemini 2.0 Pro: 39.7 (#100), Mistral Large: 18.2 (#291)
| Benchmark | Gemini 2.0 Pro | Mistral Large |
|---|---|---|
| LiveBench Math | 71% | 42.5% |
| MATH Level 5 | 83.5% | 50.3% |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LMArena Math | — | 1262 |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Gemini 2.0 Pro leads
Gemini 2.0 Pro: 36.5 (#167), Mistral Large: 30.1 (#230)
| Benchmark | Gemini 2.0 Pro | Mistral Large |
|---|---|---|
| GPQA Diamond | 65.7% | 51.3% |
| Confabulations | 18.4% | 21.4% |
| MMLU-Pro | — | 59.9% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |
Multilingual Not comparable
Gemini 2.0 Pro: —, Mistral Large: 40.0 (#219)
| Benchmark | Gemini 2.0 Pro | Mistral Large |
|---|---|---|
| LMArena Non-English | — | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Gemini 2.0 Pro leads
Gemini 2.0 Pro: 75.5 (#59), Mistral Large: 67.9 (#191)
| Benchmark | Gemini 2.0 Pro | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | 83.4% | 67.9% |
| IFEval | — | 87.7% |
| LMArena Instruction Following | — | 1249 |
Long Context Mistral Large leads
Gemini 2.0 Pro: 29.2 (#292), Mistral Large: 38.3 (#199)
| Benchmark | Gemini 2.0 Pro | Mistral Large |
|---|---|---|
| Fiction.LiveBench | 41.7% | — |
| LMArena Longer Query | — | 1261 |
Writing & Preference Gemini 2.0 Pro leads
Gemini 2.0 Pro: 52.7 (#165), Mistral Large: 40.7 (#242)
| Benchmark | Gemini 2.0 Pro | Mistral Large |
|---|---|---|
| LiveBench Language | 44.9% | 39.4% |
| LMArena Text | — | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LMArena Multi-Turn | — | 1260 |
Frequently asked questions
Is Gemini 2.0 Pro better than Mistral Large?
Gemini 2.0 Pro is the stronger model overall, scoring 39.1 to 31.9 on the Noometry Index.
Is Gemini 2.0 Pro or Mistral Large better for coding?
Gemini 2.0 Pro scores higher on coding benchmarks: 37.8 versus 34.3 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Pro and Mistral Large share?
11 benchmarks have published results for both models. Gemini 2.0 Pro has 14 scored results on Noometry and Mistral Large has 51.