# GPT-4 vs MiMo-V2-Omni

> MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-vs-mimo-v2-omni
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-4 scores higher in 0 categories and MiMo-V2-Omni in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2-Omni leads 39.1 to 10.8.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $30 / $60 for GPT-4.
- MiMo-V2-Omni accepts more context: 262K tokens versus 8K.

## Snapshot

| | GPT-4 | MiMo-V2-Omni |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 29.1 | 43.6 |
| Rank | 316 | 88 |
| Context | 8K | 262K |
| Input $/M | $30 | $0.14 |
| Output $/M | $60 | $0.28 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4: 31.6 (#283)
- MiMo-V2-Omni: 43.3 (#89)

| Benchmark | GPT-4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1254 | 1466 |
| WeirdML | 12.4% | — |
| BigCodeBench Instruct | 46% | — |
| BigCodeBench Complete | 57.2% | — |
| HumanEval+ | 79.3% | — |

## Agentic & Tool Use

- GPT-4: —
- MiMo-V2-Omni: —

| Benchmark | GPT-4 | MiMo-V2-Omni |
|---|---|---|
| METR Time Horizons | 36.1% | — |

## Reasoning

- GPT-4: 17.8 (#289)
- MiMo-V2-Omni: 29.7 (#88)

| Benchmark | GPT-4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1445 |
| Chess Puzzles | 4% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 62.7% | — |
| LMCA | 17.1% | — |
| BIG-Bench Hard | 75.1% | — |
| Epoch Capabilities Index | 125.89 | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |

## Math

- GPT-4: 10.8 (#309)
- MiMo-V2-Omni: 39.1 (#115)

| Benchmark | GPT-4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1269 | 1430 |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| MATH Level 5 | 23% | — |
| GSM8K | 92% | — |

## Knowledge

- GPT-4: 18.4 (#282)
- MiMo-V2-Omni: 40.5 (#118)

| Benchmark | GPT-4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1211 | 1449 |
| GPQA Diamond | 35.7% | — |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |

## Multimodal

- GPT-4: —
- MiMo-V2-Omni: 38.6 (#63)

| Benchmark | GPT-4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |

## Multilingual

- GPT-4: 40.6 (#215)
- MiMo-V2-Omni: 51.8 (#102)

| Benchmark | GPT-4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1246 | 1404 |
| LMArena Chinese | 1242 | 1465 |
| LMArena French | 1283 | 1447 |
| LMArena German | 1251 | 1399 |
| LMArena Japanese | 1209 | 1317 |
| LMArena Korean | 1184 | 1355 |
| LMArena Russian | 1251 | 1412 |
| LMArena Spanish | 1261 | 1434 |

## Instruction Following

- GPT-4: 65.3 (#222)
- MiMo-V2-Omni: 75.2 (#66)

| Benchmark | GPT-4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1241 | 1428 |

## Long Context

- GPT-4: 37.7 (#212)
- MiMo-V2-Omni: 44.1 (#76)

| Benchmark | GPT-4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1244 | 1442 |

## Writing & Preference

- GPT-4: 34.9 (#268)
- MiMo-V2-Omni: 61.4 (#87)

| Benchmark | GPT-4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1263 | 1423 |
| LMArena Creative Writing | 1244 | 1392 |
| LMArena Multi-Turn | 1257 | 1445 |
| EQ-Bench Creative Writing | 752 | — |

## FAQ

### Is GPT-4 better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 29.1 on the Noometry Index.

### Which is cheaper, GPT-4 or MiMo-V2-Omni?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GPT-4 lists at $30 and $60.

### Is GPT-4 or MiMo-V2-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 31.6 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 8K.

### How many benchmarks do GPT-4 and MiMo-V2-Omni share?

17 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and MiMo-V2-Omni has 18.