# GPT-4.1 mini vs MiMo-V2.6-Pro

> MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 33.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-mimo-v2-6-pro
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GPT-4.1 mini scores higher in 0 categories and MiMo-V2.6-Pro in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.6-Pro leads 53.2 to 30.4.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 1.05M.
- MiMo-V2.6-Pro has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 mini | MiMo-V2.6-Pro |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 33.5 | 46.7 |
| Rank | 232 | 55 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.40 | $0.43 |
| Output $/M | $1.60 | $0.87 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1 mini: 30.4 (#286)
- MiMo-V2.6-Pro: 53.2 (#27)

| Benchmark | GPT-4.1 mini | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1367 | 1538 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| LMArena WebDev | — | 1618 |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |

## Agentic & Tool Use

- GPT-4.1 mini: 33.0 (#52)
- MiMo-V2.6-Pro: —

| Benchmark | GPT-4.1 mini | MiMo-V2.6-Pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |

## Reasoning

- GPT-4.1 mini: 10.9 (#335)
- MiMo-V2.6-Pro: 30.4 (#76)

| Benchmark | GPT-4.1 mini | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1349 | 1511 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| Epoch Capabilities Index | 135.01 | — |

## Math

- GPT-4.1 mini: 23.1 (#264)
- MiMo-V2.6-Pro: 37.9 (#91)

| Benchmark | GPT-4.1 mini | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1343 | 1497 |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| Omni-MATH | 49.1% | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |

## Knowledge

- GPT-4.1 mini: 34.7 (#183)
- MiMo-V2.6-Pro: 43.0 (#85)

| Benchmark | GPT-4.1 mini | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1338 | 1548 |
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |

## Multimodal

- GPT-4.1 mini: 35.2 (#77)
- MiMo-V2.6-Pro: 40.2 (#40)

| Benchmark | GPT-4.1 mini | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | 1181 | 1265 |

## Multilingual

- GPT-4.1 mini: 45.9 (#161)
- MiMo-V2.6-Pro: 57.0 (#15)

| Benchmark | GPT-4.1 mini | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1318 | 1474 |
| LMArena Chinese | 1329 | 1532 |
| LMArena Russian | 1324 | 1481 |
| LMArena French | 1357 | — |
| LMArena German | 1349 | — |
| LMArena Japanese | 1291 | — |
| LMArena Korean | 1298 | — |
| LMArena Spanish | 1319 | — |

## Instruction Following

- GPT-4.1 mini: 73.9 (#113)
- MiMo-V2.6-Pro: 78.2 (#10)

| Benchmark | GPT-4.1 mini | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1332 | 1490 |
| IFEval | 90.4% | — |

## Long Context

- GPT-4.1 mini: 31.8 (#270)
- MiMo-V2.6-Pro: 46.0 (#26)

| Benchmark | GPT-4.1 mini | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1344 | 1500 |
| Fiction.LiveBench | 44.4% | — |

## Writing & Preference

- GPT-4.1 mini: 48.8 (#193)
- MiMo-V2.6-Pro: 66.9 (#32)

| Benchmark | GPT-4.1 mini | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1341 | 1491 |
| LMArena Creative Writing | 1300 | 1465 |
| LMArena Multi-Turn | 1354 | 1463 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |

## FAQ

### Is GPT-4.1 mini better than MiMo-V2.6-Pro?

MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 33.5 on the Noometry Index.

### Which is cheaper, GPT-4.1 mini or MiMo-V2.6-Pro?

MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

### Is GPT-4.1 mini or MiMo-V2.6-Pro better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 53.2 versus 30.4 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 1.05M.

### How many benchmarks do GPT-4.1 mini and MiMo-V2.6-Pro share?

13 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and MiMo-V2.6-Pro has 14.