# GPT-5 Mini vs MiMo-V2.5-Pro

> MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 41.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-mini-vs-mimo-v2-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. GPT-5 Mini scores higher in 2 categories and MiMo-V2.5-Pro in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5-Pro leads 65.5 to 55.4.
- The biggest single-benchmark swing is ProofBench: 9% for GPT-5 Mini and 22% for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.25 / $2 for GPT-5 Mini.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 400K.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5 Mini | MiMo-V2.5-Pro |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 41.7 | 44.8 |
| Rank | 115 | 70 |
| Context | 400K | 1.05M |
| Input $/M | $0.25 | $0.43 |
| Output $/M | $2 | $0.87 |
| Weights | Proprietary | Open |

## Coding

- GPT-5 Mini: 40.0 (#134)
- MiMo-V2.5-Pro: 47.0 (#58)

| Benchmark | GPT-5 Mini | MiMo-V2.5-Pro |
|---|---|---|
| SciCode | 39.2% | 50.2% |
| LMArena Coding | 1406 | 1502 |
| ALE-Bench | 799.77 | 899.8 |
| SWE-bench Verified | 64.7% | — |
| SWE-bench Verified (bash only) | 59.8% | — |
| LMArena WebDev | — | 1477 |
| SWE-bench Multilingual | 39.7% | — |
| WeirdML | 52.7% | — |
| AlgoTune | 1.38 | — |

## Agentic & Tool Use

- GPT-5 Mini: 31.0 (#64)
- MiMo-V2.5-Pro: —

| Benchmark | GPT-5 Mini | MiMo-V2.5-Pro |
|---|---|---|
| Terminal-Bench | 34.8% | — |
| Berkeley Function Calling Leaderboard | 55.5% | — |
| Vending-Bench 2 | -31.18 | — |

## Reasoning

- GPT-5 Mini: 24.1 (#153)
- MiMo-V2.5-Pro: 25.9 (#124)

| Benchmark | GPT-5 Mini | MiMo-V2.5-Pro |
|---|---|---|
| CritPt | 0% | 4% |
| LMArena Hard Prompts | 1380 | 1487 |
| DTBench | 80.5% | 84.5% |
| LMCA | 34.2% | 29.5% |
| ARC-AGI-2 | 4.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 34.4% |
| ARC-AGI-1 | 54.3% | — |
| Chess Puzzles | 30% | — |
| EnigmaEval | 8.2% | — |
| Mystery Game Puzzles | 10% | — |
| Epoch Capabilities Index | 145.51 | — |
| ForecastBench | 61 | — |

## Math

- GPT-5 Mini: 46.3 (#59)
- MiMo-V2.5-Pro: 38.6 (#84)

| Benchmark | GPT-5 Mini | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | 9% | 22% |
| LMArena Math | 1377 | 1480 |
| FrontierMath (Tiers 1-3) | 46.7% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 86.7% | — |
| Omni-MATH | 72.2% | — |
| MATH Level 5 | 97.8% | — |
| FrontierMath (Feb 2025 set) | 27.2% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |

## Knowledge

- GPT-5 Mini: 45.5 (#80)
- MiMo-V2.5-Pro: 41.5 (#100)

| Benchmark | GPT-5 Mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1377 | 1501 |
| GPQA Diamond | 75% | — |
| Humanity's Last Exam | 19.4% | — |
| SimpleQA Verified | 21.6% | — |
| MMLU-Pro | 83.5% | — |
| Confabulations | 13.3% | — |
| Vectara Hallucination Rate | 12.9% | — |
| GPQA (HELM) | 75.6% | — |

## Multimodal

- GPT-5 Mini: 35.0 (#80)
- MiMo-V2.5-Pro: —

| Benchmark | GPT-5 Mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1202 | — |
| VPCT | 40.2% | — |

## Multilingual

- GPT-5 Mini: 49.1 (#131)
- MiMo-V2.5-Pro: 55.3 (#33)

| Benchmark | GPT-5 Mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1363 | 1449 |
| LMArena Chinese | 1387 | 1507 |
| LMArena French | 1385 | 1489 |
| LMArena German | 1366 | 1455 |
| LMArena Japanese | 1342 | 1418 |
| LMArena Korean | 1306 | 1436 |
| LMArena Russian | 1362 | 1450 |
| LMArena Spanish | 1355 | 1470 |

## Instruction Following

- GPT-5 Mini: 76.4 (#43)
- MiMo-V2.5-Pro: 77.6 (#21)

| Benchmark | GPT-5 Mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1357 | 1477 |
| IFEval | 92.7% | — |

## Long Context

- GPT-5 Mini: 41.9 (#127)
- MiMo-V2.5-Pro: 45.4 (#38)

| Benchmark | GPT-5 Mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1355 | 1482 |
| Fiction.LiveBench | 69.4% | — |

## Writing & Preference

- GPT-5 Mini: 55.4 (#143)
- MiMo-V2.5-Pro: 65.5 (#47)

| Benchmark | GPT-5 Mini | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1373 | 1465 |
| LMArena Creative Writing | 1325 | 1440 |
| EQ-Bench Creative Writing | 1313 | 1493 |
| LMArena Multi-Turn | 1363 | 1477 |
| Short-Story Creative Writing | 83.1% | — |
| WildBench | 85.5% | — |
| EQ-Bench 4 | — | 1208 |

## FAQ

### Is GPT-5 Mini better than MiMo-V2.5-Pro?

MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 41.7 on the Noometry Index.

### Which is cheaper, GPT-5 Mini or MiMo-V2.5-Pro?

MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GPT-5 Mini lists at $0.25 and $2.

### Is GPT-5 Mini or MiMo-V2.5-Pro better for coding?

MiMo-V2.5-Pro scores higher on coding benchmarks: 47.0 versus 40.0 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.5-Pro does, with 1.05M tokens against 400K.

### How many benchmarks do GPT-5 Mini and MiMo-V2.5-Pro share?

24 benchmarks have published results for both models. GPT-5 Mini has 60 scored results on Noometry and MiMo-V2.5-Pro has 27.