# GPT-4.1 mini vs Mixtral 8x7B

> GPT-4.1 mini is the stronger model overall, scoring 33.5 to 26.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-mixtral-8x7b
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. GPT-4.1 mini scores higher in 5 categories and Mixtral 8x7B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 11.0.
- The biggest single-benchmark swing is MATH Level 5: 87.3% for GPT-4.1 mini and 10% for Mixtral 8x7B.
- Both cost about the same: $0.40 input and $1.60 output per million tokens.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 mini | Mixtral 8x7B |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 33.5 | 26.8 |
| Rank | 232 | 328 |
| Context | 1.05M | 32K |
| Input $/M | $0.40 | $0.70 |
| Output $/M | $1.60 | $0.70 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1 mini: 30.4 (#286)
- Mixtral 8x7B: 32.2 (#265)

| Benchmark | GPT-4.1 mini | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1367 | 1127 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Agentic & Tool Use

- GPT-4.1 mini: 33.0 (#52)
- Mixtral 8x7B: —

| Benchmark | GPT-4.1 mini | Mixtral 8x7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |

## Reasoning

- GPT-4.1 mini: 10.9 (#335)
- Mixtral 8x7B: 17.4 (#283)

| Benchmark | GPT-4.1 mini | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1349 | 1115 |
| DTBench | 68.8% | 49.6% |
| Epoch Capabilities Index | 135.01 | 118.38 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |
| LMCA | 21.1% | — |
| Adversarial NLI | — | 55.2% |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |

## Math

- GPT-4.1 mini: 23.1 (#264)
- Mixtral 8x7B: 17.2 (#284)

| Benchmark | GPT-4.1 mini | Mixtral 8x7B |
|---|---|---|
| Omni-MATH | 49.1% | 10.5% |
| LMArena Math | 1343 | 1147 |
| MATH Level 5 | 87.3% | 10% |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| GSM8K | — | 74.4% |

## Knowledge

- GPT-4.1 mini: 34.7 (#183)
- Mixtral 8x7B: 11.0 (#296)

| Benchmark | GPT-4.1 mini | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 65.8% | 30.6% |
| MMLU-Pro | 78.3% | 33.5% |
| GPQA (HELM) | 61.4% | 29.6% |
| LMArena Expert | 1338 | 1088 |
| SimpleQA Verified | 12.7% | — |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |

## Multimodal

- GPT-4.1 mini: 35.2 (#77)
- Mixtral 8x7B: —

| Benchmark | GPT-4.1 mini | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1181 | — |

## Multilingual

- GPT-4.1 mini: 45.9 (#161)
- Mixtral 8x7B: 29.8 (#261)

| Benchmark | GPT-4.1 mini | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1318 | 1077 |
| LMArena Chinese | 1329 | 1055 |
| LMArena French | 1357 | 1165 |
| LMArena German | 1349 | 1114 |
| LMArena Japanese | 1291 | 931 |
| LMArena Korean | 1298 | 968 |
| LMArena Russian | 1324 | 1090 |
| LMArena Spanish | 1319 | 1110 |

## Instruction Following

- GPT-4.1 mini: 73.9 (#113)
- Mixtral 8x7B: 51.2 (#292)

| Benchmark | GPT-4.1 mini | Mixtral 8x7B |
|---|---|---|
| IFEval | 90.4% | 57.5% |
| LMArena Instruction Following | 1332 | 1110 |

## Long Context

- GPT-4.1 mini: 31.8 (#270)
- Mixtral 8x7B: 33.4 (#255)

| Benchmark | GPT-4.1 mini | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1344 | 1103 |
| Fiction.LiveBench | 44.4% | — |

## Writing & Preference

- GPT-4.1 mini: 48.8 (#193)
- Mixtral 8x7B: 34.4 (#265)

| Benchmark | GPT-4.1 mini | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1341 | 1132 |
| LMArena Creative Writing | 1300 | 1109 |
| WildBench | 83.8% | 67.3% |
| LMArena Multi-Turn | 1354 | 1115 |
| EQ-Bench Creative Writing | 1147 | — |

## FAQ

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

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 26.8 on the Noometry Index.

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

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

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

Mixtral 8x7B scores higher on coding benchmarks: 32.2 versus 30.4 in the Noometry coding category.

### Which has the bigger context window?

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

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

26 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mixtral 8x7B has 38.