Model comparison
Gemini 2.5 Flash-Lite vs Mistral Small 3.1
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 31.7 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 3.1 in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 14.7.
- The biggest single-benchmark swing is Omni-MATH: 48% for Gemini 2.5 Flash-Lite and 24.8% for Mistral Small 3.1.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 128K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Mistral Small 3.1 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 37.0 | 31.7 |
| Released | 2025-06-17 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 66K | 102K |
| Input $ / M tokens | $0.10 | $0.35 |
| Output $ / M tokens | $0.40 | $0.56 |
| Results tracked | 33 | 28 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Gemini 2.5 Flash-Lite: 38.5 (#173), Mistral Small 3.1: 38.3 (#179)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1373 | 1309 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Mistral Small 3.1: —
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small 3.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Mistral Small 3.1: 19.7 (#254)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1278 |
| Epoch Capabilities Index | 133.94 | 127.48 |
| Kagi LLM Benchmark | 40.5% | — |
| Chess Puzzles | — | 1% |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Mistral Small 3.1: 14.7 (#301)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small 3.1 |
|---|---|---|
| Omni-MATH | 48% | 24.8% |
| LMArena Math | 1373 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 3.9% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Mistral Small 3.1: 22.6 (#271)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small 3.1 |
|---|---|---|
| MMLU-Pro | 53.7% | 61% |
| GPQA (HELM) | 30.9% | 39.2% |
| LMArena Expert | 1373 | 1257 |
| GPQA Diamond | — | 41.9% |
| Vectara Hallucination Rate | 3.3% | — |
Multimodal Mistral Small 3.1 leads
Gemini 2.5 Flash-Lite: 29.1 (#114), Mistral Small 3.1: 33.2 (#99)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1198 | 1136 |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Mistral Small 3.1: 41.2 (#209)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1369 | 1255 |
| LMArena Chinese | 1404 | 1253 |
| LMArena French | 1388 | 1273 |
| LMArena German | 1389 | 1266 |
| LMArena Japanese | 1359 | 1208 |
| LMArena Korean | 1360 | 1206 |
| LMArena Russian | 1373 | 1263 |
| LMArena Spanish | 1396 | 1283 |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Mistral Small 3.1: 63.6 (#230)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small 3.1 |
|---|---|---|
| IFEval | 81% | 75% |
| LMArena Instruction Following | 1367 | 1264 |
Long Context Mistral Small 3.1 leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Mistral Small 3.1: 39.5 (#178)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1373 | 1299 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Mistral Small 3.1: 37.0 (#259)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1379 | 1277 |
| LMArena Creative Writing | 1367 | 1253 |
| WildBench | 81.8% | 78.8% |
| LMArena Multi-Turn | 1366 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Mistral Small 3.1?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 31.7 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or Mistral Small 3.1?
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 3.1 lists at $0.35 and $0.56.
Is Gemini 2.5 Flash-Lite or Mistral Small 3.1 better for coding?
They score almost the same on coding (38.5 vs 38.3); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 2.5 Flash-Lite and Mistral Small 3.1 share?
24 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Mistral Small 3.1 has 28.