Model comparison
Gemini 2.5 Flash-Lite vs Mistral
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.9 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 6 categories and Mistral in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 56.8 to 37.0.
- The biggest single-benchmark swing is Omni-MATH: 48% for Gemini 2.5 Flash-Lite and 7.2% for Mistral.
Side by side
| Gemini 2.5 Flash-Lite | Mistral | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 37.0 | 29.9 |
| Released | 2025-06-17 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 33 | 22 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Mistral: 33.8 (#250)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral |
|---|---|---|
| LMArena Coding | 1373 | 1162 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Mistral: —
| Benchmark | Gemini 2.5 Flash-Lite | Mistral |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Too close to call
Gemini 2.5 Flash-Lite: 22.2 (#205), Mistral: 22.2 (#200)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1149 |
| Kagi LLM Benchmark | 40.5% | — |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.94 | — |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Mistral: 22.3 (#278)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral |
|---|---|---|
| Omni-MATH | 48% | 7.2% |
| LMArena Math | 1373 | 1180 |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Mistral: 16.6 (#288)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral |
|---|---|---|
| MMLU-Pro | 53.7% | 27.7% |
| GPQA (HELM) | 30.9% | 30.3% |
| LMArena Expert | 1373 | 1125 |
| Vectara Hallucination Rate | 3.3% | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Mistral: —
| Benchmark | Gemini 2.5 Flash-Lite | Mistral |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Mistral: 32.8 (#254)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral |
|---|---|---|
| LMArena Non-English | 1369 | 1129 |
| LMArena Chinese | 1404 | 1109 |
| LMArena French | 1388 | 1180 |
| LMArena German | 1389 | 1155 |
| LMArena Japanese | 1359 | 1013 |
| LMArena Korean | 1360 | 1032 |
| LMArena Russian | 1373 | 1168 |
| LMArena Spanish | 1396 | 1143 |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Mistral: 52.6 (#288)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral |
|---|---|---|
| IFEval | 81% | 56.8% |
| LMArena Instruction Following | 1367 | 1152 |
Long Context Mistral leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Mistral: 35.0 (#245)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral |
|---|---|---|
| LMArena Longer Query | 1373 | 1153 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Mistral: 37.0 (#260)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral |
|---|---|---|
| LMArena Text | 1379 | 1165 |
| LMArena Creative Writing | 1367 | 1158 |
| WildBench | 81.8% | 66% |
| LMArena Multi-Turn | 1366 | 1147 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Mistral?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.9 on the Noometry Index.
Is Gemini 2.5 Flash-Lite or Mistral better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 33.8 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Flash-Lite and Mistral share?
22 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Mistral has 22.