# Gemini 3.6 Flash vs Mistral 7B

> Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 23.0 on the Noometry Index. Mistral 7B costs 6.0× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-6-flash-vs-mistral-7b
- Last updated: 2026-10-11
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemini 3.6 Flash scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.6 Flash leads 67.8 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.2% for Gemini 3.6 Flash and 0.3% for Mistral 7B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.6 Flash.
- Gemini 3.6 Flash accepts more context: 1.05M tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.6 Flash | Mistral 7B |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 54.1 | 23.0 |
| Rank | 33 | 351 |
| Context | 1.05M | 8K |
| Input $/M | $0.75 | $0.25 |
| Output $/M | $3.75 | $0.25 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.6 Flash: 50.0 (#48)
- Mistral 7B: 26.4 (#326)

| Benchmark | Gemini 3.6 Flash | Mistral 7B |
|---|---|---|
| LMArena Coding | 1491 | 1082 |
| DeepSWE | 46.7% | — |
| FrontierCode | 34.4% | — |
| LMArena WebDev | 1538 | — |
| SciCode | 52.7% | — |
| WeirdML | 56.1% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 715.52 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |

## Agentic & Tool Use

- Gemini 3.6 Flash: 32.3 (#65)
- Mistral 7B: —

| Benchmark | Gemini 3.6 Flash | Mistral 7B |
|---|---|---|
| APEX-Agents | 46.9% | — |
| GDP.pdf | 14% | — |

## Reasoning

- Gemini 3.6 Flash: 58.8 (#22)
- Mistral 7B: 13.1 (#336)

| Benchmark | Gemini 3.6 Flash | Mistral 7B |
|---|---|---|
| Chess Puzzles | 43% | 0% |
| LMArena Hard Prompts | 1485 | 1067 |
| DTBench | 95.5% | 42.5% |
| Epoch Capabilities Index | 154.25 | 112.21 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 89% | — |
| ARC-AGI-1 | 91.2% | — |
| CritPt | 10.6% | — |
| Mystery Game Puzzles | 30% | — |
| LMCA | 44.9% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |

## Math

- Gemini 3.6 Flash: 57.3 (#40)
- Mistral 7B: 8.1 (#325)

| Benchmark | Gemini 3.6 Flash | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.2% | 0.3% |
| LMArena Math | 1505 | 1085 |
| FrontierMath (Tiers 1-3) | 58.9% | — |
| FrontierMath Tier 4 | 22% | — |
| MathArena Final-Answer Competitions | 70.8% | — |
| ProofBench | 36% | — |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |

## Knowledge

- Gemini 3.6 Flash: 67.8 (#8)
- Mistral 7B: 7.4 (#311)

| Benchmark | Gemini 3.6 Flash | Mistral 7B |
|---|---|---|
| GPQA Diamond | 94.1% | 15.2% |
| LMArena Expert | 1488 | 1036 |
| SimpleQA Verified | 66.2% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |

## Multimodal

- Gemini 3.6 Flash: 38.5 (#64)
- Mistral 7B: —

| Benchmark | Gemini 3.6 Flash | Mistral 7B |
|---|---|---|
| LMArena Vision | 1298 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 23.3% | — |
| LMArena Document | 1456 | — |

## Multilingual

- Gemini 3.6 Flash: 56.5 (#19)
- Mistral 7B: 25.8 (#283)

| Benchmark | Gemini 3.6 Flash | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1469 | 1012 |
| LMArena Chinese | 1531 | 1009 |
| LMArena French | 1504 | 1037 |
| LMArena German | 1478 | 987 |
| LMArena Japanese | 1476 | 878 |
| LMArena Russian | 1487 | 1018 |
| LMArena Spanish | 1475 | 1026 |
| LMArena Korean | 1431 | — |

## Instruction Following

- Gemini 3.6 Flash: 77.0 (#33)
- Mistral 7B: 54.2 (#280)

| Benchmark | Gemini 3.6 Flash | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1466 | 1060 |

## Long Context

- Gemini 3.6 Flash: 45.1 (#50)
- Mistral 7B: 32.2 (#271)

| Benchmark | Gemini 3.6 Flash | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1474 | 1060 |

## Writing & Preference

- Gemini 3.6 Flash: 68.2 (#27)
- Mistral 7B: 30.7 (#286)

| Benchmark | Gemini 3.6 Flash | Mistral 7B |
|---|---|---|
| LMArena Text | 1479 | 1090 |
| LMArena Creative Writing | 1465 | 1068 |
| LMArena Multi-Turn | 1481 | 1062 |
| EQ-Bench Creative Writing | 1604 | — |

## FAQ

### Is Gemini 3.6 Flash better than Mistral 7B?

Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 23.0 on the Noometry Index. Mistral 7B costs 6.0× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.6 Flash or Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Gemini 3.6 Flash lists at $0.75 and $3.75.

### Is Gemini 3.6 Flash or Mistral 7B better for coding?

Gemini 3.6 Flash scores higher on coding benchmarks: 50.0 versus 26.4 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.6 Flash does, with 1.05M tokens against 8K.

### How many benchmarks do Gemini 3.6 Flash and Mistral 7B share?

21 benchmarks have published results for both models. Gemini 3.6 Flash has 46 scored results on Noometry and Mistral 7B has 37.