Model comparison
Gemini 2.0 Flash-Lite vs Mistral Medium
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 36.3 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 3 categories and Mistral Medium in 6 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.0 Flash-Lite leads 35.0 to 25.0.
- The biggest single-benchmark swing is DTBench: 52.5% for Gemini 2.0 Flash-Lite and 75.5% for Mistral Medium.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash-Lite | Mistral Medium | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 37.8 | 36.3 |
| Released | 2025-02-05 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 32 | 36 |
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Category by category
Coding Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 37.9 (#185), Mistral Medium: 34.2 (#243)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Medium |
|---|---|---|
| LMArena Coding | 1322 | 1434 |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| LiveBench Coding | 47.1% | — |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash-Lite: —, Mistral Medium: 28.3 (#90)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning Mistral Medium leads
Gemini 2.0 Flash-Lite: 22.0 (#210), Mistral Medium: 24.0 (#167)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1324 | 1426 |
| DTBench | 52.5% | 75.5% |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| LiveBench Reasoning | 50.1% | — |
| LiveBench Data Analysis | 65.5% | — |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| ForecastBench | 57.1 | — |
| LiveBench | 54.3% | — |
Math Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 34.1 (#196), Mistral Medium: 28.1 (#245)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Medium |
|---|---|---|
| LMArena Math | 1309 | 1408 |
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| Omni-MATH | 37.4% | — |
| LiveBench Math | 58.1% | — |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 35.0 (#189), Mistral Medium: 25.0 (#265)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Medium |
|---|---|---|
| LMArena Expert | 1305 | 1408 |
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| MMLU-Pro | 72% | — |
| Vectara Hallucination Rate | — | 22.7% |
| GPQA (HELM) | 50% | — |
Multimodal Mistral Medium leads
Gemini 2.0 Flash-Lite: 31.2 (#109), Mistral Medium: 35.3 (#88)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Medium |
|---|---|---|
| LMArena Vision | 1100 | 1172 |
Multilingual Mistral Medium leads
Gemini 2.0 Flash-Lite: 46.0 (#161), Mistral Medium: 52.1 (#91)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1323 | 1408 |
| LMArena Chinese | 1339 | 1447 |
| LMArena French | 1347 | 1459 |
| LMArena German | 1306 | 1432 |
| LMArena Japanese | 1301 | 1378 |
| LMArena Korean | 1325 | 1380 |
| LMArena Russian | 1328 | 1411 |
| LMArena Spanish | 1313 | 1433 |
Instruction Following Mistral Medium leads
Gemini 2.0 Flash-Lite: 70.4 (#163), Mistral Medium: 73.7 (#116)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1305 | 1398 |
| LiveBench Instruction Following | 78.3% | — |
| IFEval | 82.4% | — |
Long Context Mistral Medium leads
Gemini 2.0 Flash-Lite: 40.1 (#160), Mistral Medium: 42.9 (#114)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1320 | 1406 |
Writing & Preference Mistral Medium leads
Gemini 2.0 Flash-Lite: 51.7 (#177), Mistral Medium: 60.0 (#103)
| Benchmark | Gemini 2.0 Flash-Lite | Mistral Medium |
|---|---|---|
| LMArena Text | 1330 | 1424 |
| LMArena Creative Writing | 1319 | 1391 |
| LMArena Multi-Turn | 1307 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
| WildBench | 79% | — |
| LiveBench Language | 34.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than Mistral Medium?
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 36.3 on the Noometry Index.
Is Gemini 2.0 Flash-Lite or Mistral Medium better for coding?
Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash-Lite and Mistral Medium share?
19 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Mistral Medium has 36.