Model comparison
Gemini 2.0 Flash-Lite vs Mistral Large
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 31.9 on the Noometry Index.
Last verified . 31 shared benchmarks.
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Mistral AISummary
- They share 31 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 8 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.0 Flash-Lite leads 34.1 to 18.2.
- The biggest single-benchmark swing is LiveBench Math: 58.1% for Gemini 2.0 Flash-Lite and 42.5% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash-Lite | Mistral Large | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 37.8 | 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 | 32 | 51 |
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Category by category
Coding Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 37.9 (#185), Mistral Large: 34.3 (#240)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LiveBench Coding | 47.1% | 47.1% |
| LMArena Coding | 1322 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash-Lite: —, Mistral Large: 28.6 (#89)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 22.0 (#210), Mistral Large: 15.8 (#310)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LiveBench Reasoning | 50.1% | 43.5% |
| LMArena Hard Prompts | 1324 | 1257 |
| DTBench | 52.5% | 65.1% |
| LiveBench Data Analysis | 65.5% | 50.1% |
| ForecastBench | 57.1 | 57.1 |
| LiveBench | 54.3% | 48.4% |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
Math Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 34.1 (#196), Mistral Large: 18.2 (#291)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| Omni-MATH | 37.4% | 28.1% |
| LiveBench Math | 58.1% | 42.5% |
| LMArena Math | 1309 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 35.0 (#189), Mistral Large: 30.1 (#230)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| MMLU-Pro | 72% | 59.9% |
| GPQA (HELM) | 50% | 43.5% |
| LMArena Expert | 1305 | 1232 |
| GPQA Diamond | — | 51.3% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| MMLU | — | 80% |
Multimodal Not comparable
Gemini 2.0 Flash-Lite: 31.2 (#109), Mistral Large: —
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LMArena Vision | 1100 | — |
Multilingual Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 46.0 (#161), Mistral Large: 40.0 (#219)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LMArena Non-English | 1323 | 1237 |
| LMArena Chinese | 1339 | 1240 |
| LMArena French | 1347 | 1325 |
| LMArena German | 1306 | 1254 |
| LMArena Japanese | 1301 | 1188 |
| LMArena Korean | 1325 | 1202 |
| LMArena Russian | 1328 | 1257 |
| LMArena Spanish | 1313 | 1268 |
Instruction Following Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 70.4 (#163), Mistral Large: 67.9 (#191)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | 78.3% | 67.9% |
| IFEval | 82.4% | 87.7% |
| LMArena Instruction Following | 1305 | 1249 |
Long Context Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 40.1 (#160), Mistral Large: 38.3 (#199)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1320 | 1261 |
Writing & Preference Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 51.7 (#177), Mistral Large: 40.7 (#242)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LMArena Text | 1330 | 1266 |
| LMArena Creative Writing | 1319 | 1243 |
| WildBench | 79% | 80.1% |
| LMArena Multi-Turn | 1307 | 1260 |
| LiveBench Language | 34.3% | 39.4% |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than Mistral Large?
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 31.9 on the Noometry Index.
Is Gemini 2.0 Flash-Lite or Mistral Large better for coding?
Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 34.3 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash-Lite and Mistral Large share?
31 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Mistral Large has 51.