# Claude Sonnet 4 vs MiMo-V2-Omni

> MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 40.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-sonnet-4-vs-mimo-v2-omni
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Claude Sonnet 4 scores higher in 3 categories and MiMo-V2-Omni in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multimodal, where MiMo-V2-Omni leads 38.6 to 26.2.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- MiMo-V2-Omni accepts more context: 262K tokens versus 200K.

## Snapshot

| | Claude Sonnet 4 | MiMo-V2-Omni |
|---|---|---|
| Provider | Anthropic | Xiaomi |
| Noometry Index | 40.8 | 43.6 |
| Rank | 145 | 88 |
| Context | 200K | 262K |
| Input $/M | $3 | $0.14 |
| Output $/M | $15 | $0.28 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude Sonnet 4: 43.5 (#88)
- MiMo-V2-Omni: 43.3 (#89)

| Benchmark | Claude Sonnet 4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1414 | 1466 |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| SciCode | 40% | — |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| ALE-Bench | 655.35 | — |

## Agentic & Tool Use

- Claude Sonnet 4: 38.5 (#31)
- MiMo-V2-Omni: —

| Benchmark | Claude Sonnet 4 | MiMo-V2-Omni |
|---|---|---|
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| METR Time Horizons | 62% | — |

## Reasoning

- Claude Sonnet 4: 22.9 (#187)
- MiMo-V2-Omni: 29.7 (#88)

| Benchmark | Claude Sonnet 4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1445 |
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| Kagi LLM Benchmark | 73% | — |
| ARC-AGI-1 | 40% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 3.1% | — |
| DTBench | 77.1% | — |
| LMCA | 29% | — |
| Epoch Capabilities Index | 141.69 | — |
| ForecastBench | 60.2 | — |

## Math

- Claude Sonnet 4: 43.3 (#80)
- MiMo-V2-Omni: 39.1 (#115)

| Benchmark | Claude Sonnet 4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1375 | 1430 |
| OTIS Mock AIME 2024-2025 | 71.1% | — |
| Omni-MATH | 60.2% | — |
| MATH Level 5 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- Claude Sonnet 4: 41.8 (#108)
- MiMo-V2-Omni: 40.5 (#118)

| Benchmark | Claude Sonnet 4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1372 | 1449 |
| GPQA Diamond | 79.2% | — |
| Humanity's Last Exam | 7.8% | — |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| GPQA (HELM) | 70.6% | — |

## Multimodal

- Claude Sonnet 4: 26.2 (#121)
- MiMo-V2-Omni: 38.6 (#63)

| Benchmark | Claude Sonnet 4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | 1191 | 1228 |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |

## Multilingual

- Claude Sonnet 4: 46.7 (#156)
- MiMo-V2-Omni: 51.8 (#102)

| Benchmark | Claude Sonnet 4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1333 | 1404 |
| LMArena Chinese | 1350 | 1465 |
| LMArena French | 1363 | 1447 |
| LMArena German | 1331 | 1399 |
| LMArena Japanese | 1302 | 1317 |
| LMArena Korean | 1291 | 1355 |
| LMArena Russian | 1355 | 1412 |
| LMArena Spanish | 1357 | 1434 |

## Instruction Following

- Claude Sonnet 4: 71.7 (#145)
- MiMo-V2-Omni: 75.2 (#66)

| Benchmark | Claude Sonnet 4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1376 | 1428 |
| IFEval | 84% | — |

## Long Context

- Claude Sonnet 4: 33.7 (#259)
- MiMo-V2-Omni: 44.1 (#76)

| Benchmark | Claude Sonnet 4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1398 | 1442 |
| Fiction.LiveBench | 46.9% | — |

## Writing & Preference

- Claude Sonnet 4: 57.1 (#132)
- MiMo-V2-Omni: 61.4 (#87)

| Benchmark | Claude Sonnet 4 | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1351 | 1423 |
| LMArena Creative Writing | 1345 | 1392 |
| LMArena Multi-Turn | 1376 | 1445 |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
| WildBench | 83.8% | — |

## FAQ

### Is Claude Sonnet 4 better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 40.8 on the Noometry Index.

### Which is cheaper, Claude Sonnet 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; Claude Sonnet 4 lists at $3 and $15.

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

They score almost the same on coding (43.5 vs 43.3); test both on your own repository before choosing.

### Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 200K.

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

18 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and MiMo-V2-Omni has 18.