# GPT-5.4 mini vs MiMo-V2-Omni

> GPT-5.4 mini is the stronger model overall, scoring 44.8 to 42.9 on the Noometry Index. MiMo-V2-Omni costs 9.6× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-4-mini-vs-mimo-v2-omni
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GPT-5.4 mini scores higher in 7 categories and MiMo-V2-Omni in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.4 to 39.9.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.75 / $4.50 for GPT-5.4 mini.
- GPT-5.4 mini accepts more context: 400K tokens versus 262K.

## Snapshot

| | GPT-5.4 mini | MiMo-V2-Omni |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 44.8 | 42.9 |
| Rank | 69 | 91 |
| Context | 400K | 262K |
| Input $/M | $0.75 | $0.14 |
| Output $/M | $4.50 | $0.28 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5.4 mini: 45.0 (#67)
- MiMo-V2-Omni: 42.7 (#87)

| Benchmark | GPT-5.4 mini | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1438 | 1467 |
| FrontierCode | 27% | — |
| LMArena WebDev | 1397 | — |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |
| ALE-Bench | 1,189 | — |

## Agentic & Tool Use

- GPT-5.4 mini: 29.6 (#74)
- MiMo-V2-Omni: —

| Benchmark | GPT-5.4 mini | MiMo-V2-Omni |
|---|---|---|
| DeepResearch Bench | 36.3% | — |

## Reasoning

- GPT-5.4 mini: 30.3 (#77)
- MiMo-V2-Omni: 28.6 (#86)

| Benchmark | GPT-5.4 mini | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1445 |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 10% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| DTBench | 80% | — |
| LMCA | 40.8% | — |
| Epoch Capabilities Index | 148.83 | — |
| ForecastBench | 57 | — |

## Math

- GPT-5.4 mini: 45.4 (#63)
- MiMo-V2-Omni: 36.4 (#112)

| Benchmark | GPT-5.4 mini | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1418 | 1432 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 21% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GPT-5.4 mini: 51.4 (#62)
- MiMo-V2-Omni: 39.9 (#114)

| Benchmark | GPT-5.4 mini | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1434 | 1449 |
| GPQA Diamond | 86.9% | — |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |

## Multimodal

- GPT-5.4 mini: 39.0 (#51)
- MiMo-V2-Omni: 37.9 (#62)

| Benchmark | GPT-5.4 mini | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | 1245 | 1228 |

## Multilingual

- GPT-5.4 mini: 52.1 (#94)
- MiMo-V2-Omni: 52.0 (#97)

| Benchmark | GPT-5.4 mini | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1405 | 1404 |
| LMArena Chinese | 1446 | 1469 |
| LMArena French | 1440 | 1448 |
| LMArena German | 1407 | 1398 |
| LMArena Japanese | 1375 | 1318 |
| LMArena Korean | 1369 | 1355 |
| LMArena Russian | 1417 | 1412 |
| LMArena Spanish | 1403 | 1432 |

## Instruction Following

- GPT-5.4 mini: 74.3 (#99)
- MiMo-V2-Omni: 75.4 (#62)

| Benchmark | GPT-5.4 mini | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1405 | 1428 |

## Long Context

- GPT-5.4 mini: 42.9 (#107)
- MiMo-V2-Omni: 44.1 (#72)

| Benchmark | GPT-5.4 mini | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1407 | 1442 |

## Writing & Preference

- GPT-5.4 mini: 64.2 (#56)
- MiMo-V2-Omni: 61.6 (#83)

| Benchmark | GPT-5.4 mini | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1411 | 1424 |
| LMArena Creative Writing | 1370 | 1393 |
| LMArena Multi-Turn | 1429 | 1446 |
| EQ-Bench Creative Writing | 1665 | — |

## FAQ

### Is GPT-5.4 mini better than MiMo-V2-Omni?

GPT-5.4 mini is the stronger model overall, scoring 44.8 to 42.9 on the Noometry Index. MiMo-V2-Omni costs 9.6× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.4 mini 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-5.4 mini lists at $0.75 and $4.50.

### Is GPT-5.4 mini or MiMo-V2-Omni better for coding?

GPT-5.4 mini scores higher on coding benchmarks: 45.0 versus 42.7 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.4 mini does, with 400K tokens against 262K.

### How many benchmarks do GPT-5.4 mini and MiMo-V2-Omni share?

18 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and MiMo-V2-Omni has 18.