# GPT-4.1 nano vs Mixtral 8x7B

> GPT-4.1 nano and Mixtral 8x7B score almost the same on the Noometry Index (27.9 vs 27.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-4-1-nano-vs-mixtral-8x7b
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. GPT-4.1 nano scores higher in 5 categories and Mixtral 8x7B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-4.1 nano leads 67.8 to 51.0.
- The biggest single-benchmark swing is MATH Level 5: 70% for GPT-4.1 nano and 10% for Mixtral 8x7B.
- GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- GPT-4.1 nano accepts more context: 1.05M tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 nano | Mixtral 8x7B |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 27.9 | 27.1 |
| Rank | 327 | 334 |
| Context | 1.05M | 32K |
| Input $/M | $0.10 | $0.70 |
| Output $/M | $0.40 | $0.70 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1 nano: 24.1 (#330)
- Mixtral 8x7B: 32.8 (#269)

| Benchmark | GPT-4.1 nano | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1306 | 1126 |
| Aider Polyglot | 8.9% | — |
| SciCode | 25.9% | — |
| WeirdML | 19% | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Agentic & Tool Use

- GPT-4.1 nano: 26.5 (#104)
- Mixtral 8x7B: —

| Benchmark | GPT-4.1 nano | Mixtral 8x7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |

## Reasoning

- GPT-4.1 nano: 8.5 (#349)
- Mixtral 8x7B: 18.2 (#285)

| Benchmark | GPT-4.1 nano | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1286 | 1115 |
| DTBench | 52.5% | 49.6% |
| Epoch Capabilities Index | 129.62 | 118.47 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 33.3% | — |
| ARC-AGI-1 | 0% | — |
| CritPt | 0% | — |
| LMCA | 5.5% | — |
| Adversarial NLI | — | 55.2% |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |

## Math

- GPT-4.1 nano: 26.9 (#252)
- Mixtral 8x7B: 18.8 (#289)

| Benchmark | GPT-4.1 nano | Mixtral 8x7B |
|---|---|---|
| Omni-MATH | 36.7% | 10.5% |
| LMArena Math | 1274 | 1147 |
| MATH Level 5 | 70% | 10% |
| OTIS Mock AIME 2024-2025 | 28.9% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
| GSM8K | — | 74.4% |

## Knowledge

- GPT-4.1 nano: 21.8 (#273)
- Mixtral 8x7B: 11.0 (#301)

| Benchmark | GPT-4.1 nano | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 48.9% | 30.6% |
| MMLU-Pro | 55% | 33.5% |
| GPQA (HELM) | 50.7% | 29.6% |
| LMArena Expert | 1272 | 1088 |
| SimpleQA Verified | 6% | — |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |

## Multimodal

- GPT-4.1 nano: 29.2 (#113)
- Mixtral 8x7B: —

| Benchmark | GPT-4.1 nano | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1063 | — |

## Multilingual

- GPT-4.1 nano: 41.6 (#205)
- Mixtral 8x7B: 29.6 (#266)

| Benchmark | GPT-4.1 nano | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1260 | 1077 |
| LMArena Chinese | 1270 | 1055 |
| LMArena German | 1288 | 1114 |
| LMArena Japanese | 1198 | 931 |
| LMArena Russian | 1261 | 1090 |
| LMArena French | — | 1166 |
| LMArena Korean | — | 968 |
| LMArena Spanish | — | 1111 |

## Instruction Following

- GPT-4.1 nano: 67.8 (#193)
- Mixtral 8x7B: 51.0 (#297)

| Benchmark | GPT-4.1 nano | Mixtral 8x7B |
|---|---|---|
| IFEval | 84.3% | 57.5% |
| LMArena Instruction Following | 1267 | 1109 |

## Long Context

- GPT-4.1 nano: 23.7 (#296)
- Mixtral 8x7B: 33.4 (#260)

| Benchmark | GPT-4.1 nano | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1283 | 1103 |
| Fiction.LiveBench | 25% | — |

## Writing & Preference

- GPT-4.1 nano: 40.5 (#243)
- Mixtral 8x7B: 34.2 (#270)

| Benchmark | GPT-4.1 nano | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1285 | 1132 |
| LMArena Creative Writing | 1260 | 1109 |
| WildBench | 81.2% | 67.3% |
| LMArena Multi-Turn | 1277 | 1115 |
| EQ-Bench Creative Writing | 946 | — |

## FAQ

### Is GPT-4.1 nano better than Mixtral 8x7B?

GPT-4.1 nano and Mixtral 8x7B score almost the same on the Noometry Index (27.9 vs 27.1), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-4.1 nano or Mixtral 8x7B?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

### Is GPT-4.1 nano or Mixtral 8x7B better for coding?

Mixtral 8x7B scores higher on coding benchmarks: 32.8 versus 24.1 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 32K.

### How many benchmarks do GPT-4.1 nano and Mixtral 8x7B share?

23 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Mixtral 8x7B has 38.