Model comparison
Gemini 1.5 Flash (May 2024) vs Mistral Large
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 31.9 on the Noometry Index.
Last verified . 34 shared benchmarks.
Google
Mistral AISummary
- They share 34 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 6 categories and Mistral Large in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Flash (May 2024) leads 48.7 to 40.7.
- The biggest single-benchmark swing is BigCodeBench Complete: 55.1% for Gemini 1.5 Flash (May 2024) and 38.3% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | Mistral Large | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 33.2 | 31.9 |
| Released | 2024-05-14 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 42 | 51 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Gemini 1.5 Flash (May 2024): 34.4 (#236), Mistral Large: 34.3 (#240)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mistral Large |
|---|---|---|
| BigCodeBench Instruct | 43.5% | 30% |
| LMArena Coding | 1261 | 1277 |
| BigCodeBench Complete | 55.1% | 38.3% |
| HumanEval+ | 75.6% | 62.2% |
| MBPP+ | 67.5% | 59.5% |
| SciCode | — | 36.2% |
| WeirdML | 24.9% | — |
| LiveBench Coding | — | 47.1% |
| ALE-Bench | — | 264.7 |
Agentic & Tool Use Mistral Large leads
Gemini 1.5 Flash (May 2024): 26.6 (#102), Mistral Large: 28.6 (#89)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
| BALROG | 14.6% | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), Mistral Large: 15.8 (#310)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1257 |
| DTBench | 53.8% | 65.1% |
| Epoch Capabilities Index | 129.36 | 128.52 |
| ForecastBench | 53.9 | 57.1 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| LiveBench | — | 48.4% |
| PIQA | 87.5% | — |
Math Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), Mistral Large: 18.2 (#291)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 8.5% |
| Omni-MATH | 30.4% | 28.1% |
| LMArena Math | 1269 | 1262 |
| MATH Level 5 | 61.9% | 50.3% |
| FrontierMath (Feb 2025 set) | 0% | 0.3% |
| LiveBench Math | — | 42.5% |
| GSM8K | 82.4% | — |
Knowledge Mistral Large leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), Mistral Large: 30.1 (#230)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mistral Large |
|---|---|---|
| GPQA Diamond | 47.3% | 51.3% |
| MMLU-Pro | 67.8% | 59.9% |
| GPQA (HELM) | 43.7% | 43.5% |
| LMArena Expert | 1233 | 1232 |
| MMLU | 77.9% | 80% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| BoolQ | 85.8% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), Mistral Large: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Mistral Large |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), Mistral Large: 40.0 (#219)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mistral Large |
|---|---|---|
| LMArena Non-English | 1278 | 1237 |
| LMArena Chinese | 1295 | 1240 |
| LMArena French | 1258 | 1325 |
| LMArena German | 1262 | 1254 |
| LMArena Japanese | 1252 | 1188 |
| LMArena Korean | 1221 | 1202 |
| LMArena Russian | 1288 | 1257 |
| LMArena Spanish | 1243 | 1268 |
Instruction Following Mistral Large leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), Mistral Large: 67.9 (#191)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mistral Large |
|---|---|---|
| IFEval | 83.1% | 87.7% |
| LMArena Instruction Following | 1258 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
Long Context Too close to call
Gemini 1.5 Flash (May 2024): 39.0 (#187), Mistral Large: 38.3 (#199)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1284 | 1261 |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), Mistral Large: 40.7 (#242)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mistral Large |
|---|---|---|
| LMArena Text | 1287 | 1266 |
| LMArena Creative Writing | 1285 | 1243 |
| WildBench | 79.2% | 80.1% |
| LMArena Multi-Turn | 1253 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Mistral Large?
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 31.9 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Mistral Large better for coding?
They score almost the same on coding (34.4 vs 34.3); test both on your own repository before choosing.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Mistral Large share?
34 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Mistral Large has 51.