Model comparison
Gemini 1.5 Pro (May 2024) vs Mistral
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 29.9 on the Noometry Index.
Last verified . 22 shared benchmarks.
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Mistral AISummary
- They share 22 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 7 categories and Mistral in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Gemini 1.5 Pro (May 2024) leads 68.6 to 52.6.
- The biggest single-benchmark swing is MMLU-Pro: 73.7% for Gemini 1.5 Pro (May 2024) and 27.7% for Mistral.
Side by side
| Gemini 1.5 Pro (May 2024) | Mistral | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 32.1 | 29.9 |
| Released | 2024-02-15 | — |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 45 | 22 |
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Category by category
Coding Too close to call
Gemini 1.5 Pro (May 2024): 34.2 (#241), Mistral: 33.8 (#250)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral |
|---|---|---|
| LMArena Coding | 1294 | 1162 |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Pro (May 2024): 17.9 (#145), Mistral: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral |
|---|---|---|
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning Mistral leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), Mistral: 22.2 (#200)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1149 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| Epoch Capabilities Index | 131.73 | — |
| ForecastBench | 58.4 | — |
Math Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), Mistral: 22.3 (#278)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral |
|---|---|---|
| Omni-MATH | 36.4% | 7.2% |
| LMArena Math | 1315 | 1180 |
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| MATH Level 5 | 70.4% | — |
Knowledge Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), Mistral: 16.6 (#288)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral |
|---|---|---|
| MMLU-Pro | 73.7% | 27.7% |
| GPQA (HELM) | 53.4% | 30.3% |
| LMArena Expert | 1279 | 1125 |
| GPQA Diamond | 57.2% | — |
| Humanity's Last Exam | 4.6% | — |
| Confabulations | 13.5% | — |
| MMLU | 86.9% | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.8 (#77), Mistral: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 45.3 (#174), Mistral: 32.8 (#254)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral |
|---|---|---|
| LMArena Non-English | 1312 | 1129 |
| LMArena Chinese | 1331 | 1109 |
| LMArena French | 1302 | 1180 |
| LMArena German | 1286 | 1155 |
| LMArena Japanese | 1292 | 1013 |
| LMArena Korean | 1298 | 1032 |
| LMArena Russian | 1320 | 1168 |
| LMArena Spanish | 1311 | 1143 |
Instruction Following Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), Mistral: 52.6 (#288)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral |
|---|---|---|
| IFEval | 83.7% | 56.8% |
| LMArena Instruction Following | 1297 | 1152 |
Long Context Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), Mistral: 35.0 (#245)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral |
|---|---|---|
| LMArena Longer Query | 1308 | 1153 |
Writing & Preference Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), Mistral: 37.0 (#260)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral |
|---|---|---|
| LMArena Text | 1319 | 1165 |
| LMArena Creative Writing | 1333 | 1158 |
| WildBench | 81.3% | 66% |
| LMArena Multi-Turn | 1296 | 1147 |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Mistral?
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 29.9 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Mistral better for coding?
They score almost the same on coding (34.2 vs 33.8); test both on your own repository before choosing.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Mistral share?
22 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Mistral has 22.