Model comparison
Gemini 2.5 Flash-Lite vs Mistral Small
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 33.4 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 7 categories and Mistral Small in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 16.4.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 70.9% for Mistral Small.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 262K.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Mistral Small | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 37.0 | 33.4 |
| Released | 2025-06-17 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 256K |
| Input $ / M tokens | $0.10 | $0.15 |
| Output $ / M tokens | $0.40 | $0.60 |
| Results tracked | 33 | 39 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Mistral Small: 34.0 (#247)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small |
|---|---|---|
| LMArena Coding | 1373 | 1362 |
| ALE-Bench | 325.9 | 497.62 |
| SciCode | — | 26.5% |
| WeirdML | 35.2% | — |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
Agentic & Tool Use Too close to call
Gemini 2.5 Flash-Lite: 28.0 (#96), Mistral Small: 28.1 (#93)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | 37.1% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Mistral Small: 19.8 (#250)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 37.8% |
| LMArena Hard Prompts | 1377 | 1335 |
| DTBench | 62.8% | 70.9% |
| LMCA | 18.1% | 20.6% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 44.8% |
| LiveBench Data Analysis | — | 53.7% |
| Epoch Capabilities Index | 133.94 | — |
| LiveBench | — | 44% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Mistral Small: 16.4 (#293)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small |
|---|---|---|
| LMArena Math | 1373 | 1341 |
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| Omni-MATH | 48% | — |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Mistral Small: 31.0 (#222)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small |
|---|---|---|
| Vectara Hallucination Rate | 3.3% | 5.1% |
| LMArena Expert | 1373 | 1291 |
| GPQA Diamond | — | 47.5% |
| MMLU-Pro | 53.7% | — |
| GPQA (HELM) | 30.9% | — |
| MMLU | — | 68.7% |
Multimodal Mistral Small leads
Gemini 2.5 Flash-Lite: 29.1 (#114), Mistral Small: 33.5 (#96)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small |
|---|---|---|
| LMArena Vision | 1198 | 1142 |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Mistral Small: 45.5 (#169)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small |
|---|---|---|
| LMArena Non-English | 1369 | 1315 |
| LMArena Chinese | 1404 | 1340 |
| LMArena French | 1388 | 1337 |
| LMArena German | 1389 | 1340 |
| LMArena Japanese | 1359 | 1275 |
| LMArena Korean | 1360 | 1259 |
| LMArena Russian | 1373 | 1324 |
| LMArena Spanish | 1396 | 1346 |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Mistral Small: 66.4 (#209)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1367 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
| IFEval | 81% | — |
Long Context Mistral Small leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Mistral Small: 40.4 (#156)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1373 | 1327 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Mistral Small: 52.5 (#171)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small |
|---|---|---|
| LMArena Text | 1379 | 1338 |
| LMArena Creative Writing | 1367 | 1305 |
| LMArena Multi-Turn | 1366 | 1344 |
| WildBench | 81.8% | — |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Mistral Small?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 33.4 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or Mistral Small?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mistral Small lists at $0.15 and $0.60.
Is Gemini 2.5 Flash-Lite or Mistral Small better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 34.0 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Flash-Lite and Mistral Small share?
24 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Mistral Small has 39.