# GPT-6.1 Sol vs MiMo-V2.5

> GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 43.4 on the Noometry Index. MiMo-V2.5 costs 23× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-6-1-sol-vs-mimo-v2-5
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and MiMo-V2.5 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 36.8.
- The biggest single-benchmark swing is ProofBench: 99% for GPT-6.1 Sol and 16% for MiMo-V2.5.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 1.05M.
- MiMo-V2.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6.1 Sol | MiMo-V2.5 |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 65.6 | 43.4 |
| Rank | 6 | 93 |
| Context | 1.05M | 1.05M |
| Input $/M | $2 | $0.14 |
| Output $/M | $10 | $0.28 |
| Weights | Proprietary | Open |

## Coding

- GPT-6.1 Sol: 63.2 (#8)
- MiMo-V2.5: 43.9 (#81)

| Benchmark | GPT-6.1 Sol | MiMo-V2.5 |
|---|---|---|
| LMArena WebDev | 1755 | 1438 |
| SciCode | 55.8% | 43.1% |
| LMArena Coding | 1487 | 1469 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| ALE-Bench | — | 513.95 |

## Agentic & Tool Use

- GPT-6.1 Sol: 39.6 (#26)
- MiMo-V2.5: —

| Benchmark | GPT-6.1 Sol | MiMo-V2.5 |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |

## Reasoning

- GPT-6.1 Sol: 81.9 (#2)
- MiMo-V2.5: 28.6 (#101)

| Benchmark | GPT-6.1 Sol | MiMo-V2.5 |
|---|---|---|
| CritPt | 31.7% | 3.7% |
| LMArena Hard Prompts | 1466 | 1450 |
| ARC-AGI-2 | 94.2% | — |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |
| Epoch Capabilities Index | 166.09 | — |

## Math

- GPT-6.1 Sol: 93.7 (#1)
- MiMo-V2.5: 36.8 (#163)

| Benchmark | GPT-6.1 Sol | MiMo-V2.5 |
|---|---|---|
| ProofBench | 99% | 16% |
| LMArena Math | 1464 | 1436 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |

## Knowledge

- GPT-6.1 Sol: 71.8 (#4)
- MiMo-V2.5: 40.8 (#115)

| Benchmark | GPT-6.1 Sol | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1502 | 1460 |
| GPQA Diamond | 95.4% | — |
| SimpleQA Verified | 73.9% | — |

## Multimodal

- GPT-6.1 Sol: 52.7 (#5)
- MiMo-V2.5: 39.8 (#54)

| Benchmark | GPT-6.1 Sol | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | 1288 | 1247 |
| Furniture Assembly | 80% | — |

## Multilingual

- GPT-6.1 Sol: 54.3 (#46)
- MiMo-V2.5: 51.9 (#99)

| Benchmark | GPT-6.1 Sol | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1438 | 1404 |
| LMArena Chinese | 1477 | 1468 |
| LMArena Russian | 1455 | 1395 |
| LMArena French | — | 1447 |
| LMArena German | — | 1421 |
| LMArena Japanese | — | 1306 |
| LMArena Korean | — | 1363 |
| LMArena Spanish | — | 1416 |

## Instruction Following

- GPT-6.1 Sol: 77.0 (#29)
- MiMo-V2.5: 75.5 (#60)

| Benchmark | GPT-6.1 Sol | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1468 | 1434 |

## Long Context

- GPT-6.1 Sol: 44.9 (#54)
- MiMo-V2.5: 44.2 (#73)

| Benchmark | GPT-6.1 Sol | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1465 | 1445 |

## Writing & Preference

- GPT-6.1 Sol: 63.6 (#63)
- MiMo-V2.5: 61.6 (#86)

| Benchmark | GPT-6.1 Sol | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1447 | 1428 |
| LMArena Creative Writing | 1432 | 1393 |
| LMArena Multi-Turn | 1449 | 1445 |

## FAQ

### Is GPT-6.1 Sol better than MiMo-V2.5?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 43.4 on the Noometry Index. MiMo-V2.5 costs 23× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

### Which is cheaper, GPT-6.1 Sol 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-6.1 Sol lists at $2 and $10.

### Is GPT-6.1 Sol or MiMo-V2.5 better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 43.9 in the Noometry coding category.

### Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 1.05M.

### How many benchmarks do GPT-6.1 Sol and MiMo-V2.5 share?

17 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and MiMo-V2.5 has 23.