# Gemini 3.8 Flash vs Mistral Nemo

> Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 26.4 on the Noometry Index. Mistral Nemo costs 10× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-8-flash-vs-mistral-nemo
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 5 categories and Mistral Nemo in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.8 Flash leads 74.8 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 95.4% for Gemini 3.8 Flash and 29.9% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.8 Flash.
- Gemini 3.8 Flash accepts more context: 1.05M tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.8 Flash | Mistral Nemo |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 61.8 | 26.4 |
| Rank | 11 | 337 |
| Context | 1.05M | 128K |
| Input $/M | $0.75 | $0.15 |
| Output $/M | $3.75 | $0.15 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.8 Flash: 59.2 (#15)
- Mistral Nemo: —

| Benchmark | Gemini 3.8 Flash | Mistral Nemo |
|---|---|---|
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1584 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| WeirdML | 84.8% | — |
| LMArena Coding | 1510 | — |
| ALE-Bench | 1,270 | — |

## Agentic & Tool Use

- Gemini 3.8 Flash: 41.8 (#21)
- Mistral Nemo: 23.5 (#125)

| Benchmark | Gemini 3.8 Flash | Mistral Nemo |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| Remote Labor Index | 5.8% | — |
| BALROG | — | 17.6% |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |

## Reasoning

- Gemini 3.8 Flash: 76.9 (#5)
- Mistral Nemo: 20.7 (#232)

| Benchmark | Gemini 3.8 Flash | Mistral Nemo |
|---|---|---|
| DTBench | 95.7% | 48.6% |
| Epoch Capabilities Index | 156.71 | 118.68 |
| ARC-AGI-2 | 89.2% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 18.3% | — |
| Chess Puzzles | 61% | — |
| LMArena Hard Prompts | 1508 | — |
| Mystery Game Puzzles | 47% | — |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
| PIQA | — | 83.5% |

## Math

- Gemini 3.8 Flash: 65.3 (#28)
- Mistral Nemo: 25.5 (#268)

| Benchmark | Gemini 3.8 Flash | Mistral Nemo |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 48% | — |
| LMArena Math | 1528 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |

## Knowledge

- Gemini 3.8 Flash: 74.8 (#2)
- Mistral Nemo: 12.3 (#298)

| Benchmark | Gemini 3.8 Flash | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 95.4% | 29.9% |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
| LMArena Expert | 1524 | — |
| BoolQ | — | 82.5% |

## Multimodal

- Gemini 3.8 Flash: 40.7 (#45)
- Mistral Nemo: —

| Benchmark | Gemini 3.8 Flash | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1314 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |

## Multilingual

- Gemini 3.8 Flash: 58.0 (#5)
- Mistral Nemo: —

| Benchmark | Gemini 3.8 Flash | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1491 | — |
| LMArena Chinese | 1554 | — |
| LMArena French | 1498 | — |
| LMArena German | 1493 | — |
| LMArena Japanese | 1502 | — |
| LMArena Korean | 1459 | — |
| LMArena Russian | 1515 | — |
| LMArena Spanish | 1485 | — |

## Instruction Following

- Gemini 3.8 Flash: 78.0 (#13)
- Mistral Nemo: —

| Benchmark | Gemini 3.8 Flash | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1490 | — |

## Long Context

- Gemini 3.8 Flash: 46.3 (#24)
- Mistral Nemo: —

| Benchmark | Gemini 3.8 Flash | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1508 | — |

## Writing & Preference

- Gemini 3.8 Flash: 72.2 (#15)
- Mistral Nemo: 28.5 (#296)

| Benchmark | Gemini 3.8 Flash | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 1748 | 881 |
| LMArena Text | 1499 | — |
| LMArena Creative Writing | 1492 | — |
| LMArena Multi-Turn | 1501 | — |

## FAQ

### Is Gemini 3.8 Flash better than Mistral Nemo?

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 26.4 on the Noometry Index. Mistral Nemo costs 10× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.8 Flash or Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Gemini 3.8 Flash lists at $0.75 and $3.75.

### Which has the bigger context window?

Gemini 3.8 Flash does, with 1.05M tokens against 128K.

### How many benchmarks do Gemini 3.8 Flash and Mistral Nemo share?

4 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and Mistral Nemo has 10.