# GPT-5.5 Pro vs MiMo-V2.5

> GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 43.0 on the Noometry Index. MiMo-V2.5 costs 386× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-5-pro-vs-mimo-v2-5
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5.5 Pro scores higher in 3 categories and MiMo-V2.5 in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 83.8 to 35.4.
- The biggest single-benchmark swing is CritPt: 30.6% for GPT-5.5 Pro and 3.7% for MiMo-V2.5.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 1.05M.
- MiMo-V2.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.5 Pro | MiMo-V2.5 |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 64.3 | 43.0 |
| Rank | 7 | 89 |
| Context | 1.05M | 1.05M |
| Input $/M | $30 | $0.14 |
| Output $/M | $180 | $0.28 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.5 Pro: —
- MiMo-V2.5: 43.6 (#75)

| Benchmark | GPT-5.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena WebDev | — | 1438 |
| SciCode | — | 43.1% |
| LMArena Coding | — | 1469 |
| ALE-Bench | — | 513.95 |

## Reasoning

- GPT-5.5 Pro: 73.6 (#7)
- MiMo-V2.5: 27.8 (#98)

| Benchmark | GPT-5.5 Pro | MiMo-V2.5 |
|---|---|---|
| CritPt | 30.6% | 3.7% |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| Chess Puzzles | 64% | — |
| LMArena Hard Prompts | — | 1450 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Epoch Capabilities Index | 162.45 | — |

## Math

- GPT-5.5 Pro: 83.8 (#8)
- MiMo-V2.5: 35.4 (#145)

| Benchmark | GPT-5.5 Pro | MiMo-V2.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | — | 16% |
| LMArena Math | — | 1436 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |

## Knowledge

- GPT-5.5 Pro: 64.2 (#17)
- MiMo-V2.5: 40.2 (#109)

| Benchmark | GPT-5.5 Pro | MiMo-V2.5 |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| LMArena Expert | — | 1459 |

## Multimodal

- GPT-5.5 Pro: —
- MiMo-V2.5: 39.0 (#53)

| Benchmark | GPT-5.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | — | 1245 |

## Multilingual

- GPT-5.5 Pro: —
- MiMo-V2.5: 52.0 (#96)

| Benchmark | GPT-5.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | — | 1404 |
| LMArena Chinese | — | 1467 |
| LMArena French | — | 1447 |
| LMArena German | — | 1421 |
| LMArena Japanese | — | 1304 |
| LMArena Korean | — | 1363 |
| LMArena Russian | — | 1395 |
| LMArena Spanish | — | 1412 |

## Instruction Following

- GPT-5.5 Pro: —
- MiMo-V2.5: 75.7 (#55)

| Benchmark | GPT-5.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | — | 1433 |

## Long Context

- GPT-5.5 Pro: —
- MiMo-V2.5: 44.1 (#69)

| Benchmark | GPT-5.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | — | 1444 |

## Writing & Preference

- GPT-5.5 Pro: —
- MiMo-V2.5: 61.8 (#82)

| Benchmark | GPT-5.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1392 |
| LMArena Multi-Turn | — | 1445 |

## FAQ

### Is GPT-5.5 Pro better than MiMo-V2.5?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 43.0 on the Noometry Index. MiMo-V2.5 costs 386× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.5 Pro or MiMo-V2.5?

MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

### Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 1.05M.

### How many benchmarks do GPT-5.5 Pro and MiMo-V2.5 share?

1 benchmark has published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and MiMo-V2.5 has 23.