# Gemini 3.5 Flash vs Mistral Medium 3.5

> Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 40.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-5-flash-vs-mistral-medium-3-5
- Last updated: 2026-10-12
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 9 categories and Mistral Medium 3.5 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.8 to 17.3.
- The biggest single-benchmark swing is NYT Connections (extended): 92.6% for Gemini 3.5 Flash and 12.9% for Mistral Medium 3.5.
- Mistral Medium 3.5 is cheaper at $1.50 / $7.50 per million input/output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
- Gemini 3.5 Flash accepts more context: 1.05M tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 54.2 | 40.2 |
| Rank | 32 | 152 |
| Context | 1.05M | 262K |
| Input $/M | $1.50 | $1.50 |
| Output $/M | $9 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.5 Flash: 49.4 (#49)
- Mistral Medium 3.5: 36.0 (#213)

| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1499 | 1264 |
| LMArena Coding | 1492 | 1461 |
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| SciCode | 53.1% | — |
| WeirdML | 62.6% | — |
| ALE-Bench | 911.02 | — |

## Agentic & Tool Use

- Gemini 3.5 Flash: 24.7 (#114)
- Mistral Medium 3.5: —

| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| APEX-Agents | 27.5% | — |
| GBAEval | 6.7% | — |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | 5,396 | — |

## Reasoning

- Gemini 3.5 Flash: 62.8 (#18)
- Mistral Medium 3.5: 17.3 (#295)

| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| NYT Connections (extended) | 92.6% | 12.9% |
| LMArena Hard Prompts | 1488 | 1436 |
| Epoch Capabilities Index | 154.46 | 141.35 |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 76.7% | — |
| Kagi LLM Benchmark | — | 41.4% |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 13.1% | — |
| Chess Puzzles | 50% | — |
| EnigmaEval | 25.4% | — |
| EBR-Bench | 4.8% | — |
| Mystery Game Puzzles | 32% | — |
| DTBench | 94.7% | — |
| LMCA | 47.1% | — |
| Surface Evolver Bench | 58.1% | — |
| ForecastBench | 59 | — |

## Math

- Gemini 3.5 Flash: 60.7 (#36)
- Mistral Medium 3.5: 39.1 (#113)

| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1504 | 1431 |
| FrontierMath (Tiers 1-3) | 62.8% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.3% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 31% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |

## Knowledge

- Gemini 3.5 Flash: 66.3 (#11)
- Mistral Medium 3.5: 40.0 (#126)

| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1495 | 1432 |
| GPQA Diamond | 92.8% | — |
| SimpleQA Verified | 66.2% | — |

## Multimodal

- Gemini 3.5 Flash: 45.7 (#15)
- Mistral Medium 3.5: 38.3 (#65)

| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1310 | 1223 |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |

## Multilingual

- Gemini 3.5 Flash: 57.0 (#13)
- Mistral Medium 3.5: 51.9 (#100)

| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1476 | 1404 |
| LMArena Chinese | 1526 | 1442 |
| LMArena French | 1490 | 1448 |
| LMArena German | 1492 | 1451 |
| LMArena Korean | 1451 | 1385 |
| LMArena Russian | 1493 | 1395 |
| LMArena Spanish | 1480 | 1409 |
| LMArena Japanese | 1486 | — |

## Instruction Following

- Gemini 3.5 Flash: 77.0 (#30)
- Mistral Medium 3.5: 74.6 (#90)

| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1467 | 1415 |

## Long Context

- Gemini 3.5 Flash: 45.4 (#38)
- Mistral Medium 3.5: 43.2 (#103)

| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1482 | 1415 |

## Writing & Preference

- Gemini 3.5 Flash: 65.5 (#47)
- Mistral Medium 3.5: 58.5 (#117)

| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1482 | 1421 |
| LMArena Creative Writing | 1470 | 1374 |
| EQ-Bench 4 | 1087 | 993 |
| LMArena Multi-Turn | 1481 | 1423 |

## FAQ

### Is Gemini 3.5 Flash better than Mistral Medium 3.5?

Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 40.2 on the Noometry Index.

### Which is cheaper, Gemini 3.5 Flash or Mistral Medium 3.5?

Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.

### Is Gemini 3.5 Flash or Mistral Medium 3.5 better for coding?

Gemini 3.5 Flash scores higher on coding benchmarks: 49.4 versus 36.0 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.5 Flash does, with 1.05M tokens against 262K.

### How many benchmarks do Gemini 3.5 Flash and Mistral Medium 3.5 share?

21 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Mistral Medium 3.5 has 22.