Model comparison
Gemini 2.5 Flash-Lite vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 17× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
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Mistral AISummary
- They share 19 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 2 categories and Mistral Medium 3.5 in 7 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Mistral Medium 3.5 leads 43.2 to 33.3.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 37.0 | 40.2 |
| Released | 2025-06-17 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 210K |
| Input $ / M tokens | $0.10 | $1.50 |
| Output $ / M tokens | $0.40 | $7.50 |
| 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 Medium 3.5: 36.0 (#213)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1373 | 1461 |
| LMArena WebDev | — | 1264 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Mistral Medium 3.5: —
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Medium 3.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 41.4% |
| LMArena Hard Prompts | 1377 | 1436 |
| Epoch Capabilities Index | 133.94 | 141.35 |
| NYT Connections (extended) | — | 12.9% |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
Math Mistral Medium 3.5 leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1373 | 1431 |
| Omni-MATH | 48% | — |
Knowledge Mistral Medium 3.5 leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1373 | 1432 |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Mistral Medium 3.5 leads
Gemini 2.5 Flash-Lite: 29.1 (#114), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1198 | 1223 |
| VPCT | 30% | — |
Multilingual Mistral Medium 3.5 leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1369 | 1404 |
| LMArena Chinese | 1404 | 1442 |
| LMArena French | 1388 | 1448 |
| LMArena German | 1389 | 1451 |
| LMArena Korean | 1360 | 1385 |
| LMArena Russian | 1373 | 1395 |
| LMArena Spanish | 1396 | 1409 |
| LMArena Japanese | 1359 | — |
Instruction Following Mistral Medium 3.5 leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1367 | 1415 |
| IFEval | 81% | — |
Long Context Mistral Medium 3.5 leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1373 | 1415 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Mistral Medium 3.5 leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1379 | 1421 |
| LMArena Creative Writing | 1367 | 1374 |
| LMArena Multi-Turn | 1366 | 1423 |
| WildBench | 81.8% | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 17× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or Mistral Medium 3.5?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is Gemini 2.5 Flash-Lite or Mistral Medium 3.5 better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 36.0 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 Medium 3.5 share?
19 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Mistral Medium 3.5 has 22.