# 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.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-mistral-medium-3-5
- Last updated: 2026-10-12
- Shared benchmarks: 19

## Summary

- 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.

## Snapshot

| | Gemini 2.5 Flash-Lite | Mistral Medium 3.5 |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 37.0 | 40.2 |
| Rank | 211 | 152 |
| Context | 1.05M | 262K |
| Input $/M | $0.10 | $1.50 |
| Output $/M | $0.40 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- 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

- 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: 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

- 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

- 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

- 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

- 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

- 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

- 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

- 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 |

## FAQ

### 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.