# GPT-4.1 mini vs Mixtral 8x22B

> GPT-4.1 mini is the stronger model overall, scoring 33.5 to 26.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-mixtral-8x22b
- Last updated: 2026-10-10
- Shared benchmarks: 28

## Summary

- They share 28 benchmarks with published results for both. GPT-4.1 mini scores higher in 7 categories and Mixtral 8x22B in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 15.1.
- The biggest single-benchmark swing is MATH Level 5: 87.3% for GPT-4.1 mini and 24.2% for Mixtral 8x22B.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 mini | Mixtral 8x22B |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 33.5 | 26.7 |
| Rank | 232 | 330 |
| Context | 1.05M | 64K |
| Input $/M | $0.40 | $2 |
| Output $/M | $1.60 | $6 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1 mini: 30.4 (#286)
- Mixtral 8x22B: 23.8 (#324)

| Benchmark | GPT-4.1 mini | Mixtral 8x22B |
|---|---|---|
| WeirdML | 37.6% | 3.2% |
| BigCodeBench Instruct | 48.9% | 40.6% |
| LMArena Coding | 1367 | 1166 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| SciCode | 40.4% | — |
| BigCodeBench Complete | — | 50.2% |
| CadEval | 16% | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |

## Agentic & Tool Use

- GPT-4.1 mini: 33.0 (#52)
- Mixtral 8x22B: 22.8 (#119)

| Benchmark | GPT-4.1 mini | Mixtral 8x22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
| Cybench | — | 7.5% |

## Reasoning

- GPT-4.1 mini: 10.9 (#335)
- Mixtral 8x22B: 19.1 (#246)

| Benchmark | GPT-4.1 mini | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1349 | 1150 |
| DTBench | 68.8% | 55.1% |
| Epoch Capabilities Index | 135.01 | 122 |
| 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% | — |
| ForecastBench | — | 56.3 |

## Math

- GPT-4.1 mini: 23.1 (#264)
- Mixtral 8x22B: 21.2 (#271)

| Benchmark | GPT-4.1 mini | Mixtral 8x22B |
|---|---|---|
| Omni-MATH | 49.1% | 16.3% |
| LMArena Math | 1343 | 1184 |
| MATH Level 5 | 87.3% | 24.2% |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |

## Knowledge

- GPT-4.1 mini: 34.7 (#183)
- Mixtral 8x22B: 15.1 (#288)

| Benchmark | GPT-4.1 mini | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 65.8% | 34.1% |
| MMLU-Pro | 78.3% | 46% |
| GPQA (HELM) | 61.4% | 33.4% |
| LMArena Expert | 1338 | 1113 |
| SimpleQA Verified | 12.7% | — |
| MMLU | — | 77.8% |

## Multimodal

- GPT-4.1 mini: 35.2 (#77)
- Mixtral 8x22B: —

| Benchmark | GPT-4.1 mini | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1181 | — |

## Multilingual

- GPT-4.1 mini: 45.9 (#161)
- Mixtral 8x22B: 32.9 (#250)

| Benchmark | GPT-4.1 mini | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1318 | 1128 |
| LMArena Chinese | 1329 | 1116 |
| LMArena French | 1357 | 1165 |
| LMArena German | 1349 | 1141 |
| LMArena Japanese | 1291 | 1037 |
| LMArena Korean | 1298 | 1056 |
| LMArena Russian | 1324 | 1158 |
| LMArena Spanish | 1319 | 1150 |

## Instruction Following

- GPT-4.1 mini: 73.9 (#113)
- Mixtral 8x22B: 57.9 (#261)

| Benchmark | GPT-4.1 mini | Mixtral 8x22B |
|---|---|---|
| IFEval | 90.4% | 72.4% |
| LMArena Instruction Following | 1332 | 1147 |

## Long Context

- GPT-4.1 mini: 31.8 (#270)
- Mixtral 8x22B: 34.6 (#242)

| Benchmark | GPT-4.1 mini | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1344 | 1144 |
| Fiction.LiveBench | 44.4% | — |

## Writing & Preference

- GPT-4.1 mini: 48.8 (#193)
- Mixtral 8x22B: 37.1 (#257)

| Benchmark | GPT-4.1 mini | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1341 | 1162 |
| LMArena Creative Writing | 1300 | 1141 |
| WildBench | 83.8% | 71.1% |
| LMArena Multi-Turn | 1354 | 1130 |
| EQ-Bench Creative Writing | 1147 | — |

## FAQ

### Is GPT-4.1 mini better than Mixtral 8x22B?

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 26.7 on the Noometry Index.

### Which is cheaper, GPT-4.1 mini or Mixtral 8x22B?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Mixtral 8x22B lists at $2 and $6.

### Is GPT-4.1 mini or Mixtral 8x22B better for coding?

GPT-4.1 mini scores higher on coding benchmarks: 30.4 versus 23.8 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 64K.

### How many benchmarks do GPT-4.1 mini and Mixtral 8x22B share?

28 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mixtral 8x22B has 34.