# GPT-5.4 mini vs MiMo-V2-Flash

> GPT-5.4 mini is the stronger model overall, scoring 45.0 to 41.3 on the Noometry Index. MiMo-V2-Flash 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-flash
- Last updated: 2026-10-11
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. GPT-5.4 mini scores higher in 7 categories and MiMo-V2-Flash in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.5 to 39.7.
- The biggest single-benchmark swing is SciCode: 49.9% for GPT-5.4 mini and 25.9% for MiMo-V2-Flash.
- MiMo-V2-Flash 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.
- MiMo-V2-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.4 mini | MiMo-V2-Flash |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 45.0 | 41.3 |
| Rank | 76 | 138 |
| Context | 400K | 262K |
| Input $/M | $0.75 | $0.14 |
| Output $/M | $4.50 | $0.28 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.4 mini: 45.2 (#72)
- MiMo-V2-Flash: 36.1 (#211)

| Benchmark | GPT-5.4 mini | MiMo-V2-Flash |
|---|---|---|
| LMArena WebDev | 1397 | 1330 |
| SciCode | 49.9% | 25.9% |
| LMArena Coding | 1438 | 1443 |
| ALE-Bench | 1,189 | 737.95 |
| FrontierCode | 27% | — |
| WeirdML | 60.3% | — |

## Agentic & Tool Use

- GPT-5.4 mini: 29.9 (#81)
- MiMo-V2-Flash: —

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

## Reasoning

- GPT-5.4 mini: 30.4 (#85)
- MiMo-V2-Flash: 24.9 (#157)

| Benchmark | GPT-5.4 mini | MiMo-V2-Flash |
|---|---|---|
| CritPt | 10% | 0% |
| LMArena Hard Prompts | 1424 | 1420 |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| DTBench | 80% | — |
| LMCA | 40.8% | — |
| Epoch Capabilities Index | 148.84 | — |
| ForecastBench | 57 | — |

## Math

- GPT-5.4 mini: 45.5 (#75)
- MiMo-V2-Flash: 38.3 (#139)

| Benchmark | GPT-5.4 mini | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1419 | 1396 |
| 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: 51.5 (#67)
- MiMo-V2-Flash: 39.7 (#131)

| Benchmark | GPT-5.4 mini | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1435 | 1425 |
| GPQA Diamond | 86.9% | — |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |

## Multimodal

- GPT-5.4 mini: 39.7 (#56)
- MiMo-V2-Flash: —

| Benchmark | GPT-5.4 mini | MiMo-V2-Flash |
|---|---|---|
| LMArena Vision | 1245 | — |

## Multilingual

- GPT-5.4 mini: 51.9 (#96)
- MiMo-V2-Flash: 51.0 (#113)

| Benchmark | GPT-5.4 mini | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1405 | 1392 |
| LMArena Chinese | 1446 | 1462 |
| LMArena French | 1440 | 1429 |
| LMArena German | 1409 | 1395 |
| LMArena Japanese | 1374 | 1325 |
| LMArena Korean | 1368 | 1358 |
| LMArena Russian | 1417 | 1387 |
| LMArena Spanish | 1405 | 1420 |

## Instruction Following

- GPT-5.4 mini: 74.1 (#102)
- MiMo-V2-Flash: 73.5 (#120)

| Benchmark | GPT-5.4 mini | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1405 | 1392 |

## Long Context

- GPT-5.4 mini: 43.0 (#112)
- MiMo-V2-Flash: 43.0 (#110)

| Benchmark | GPT-5.4 mini | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1407 | 1409 |

## Writing & Preference

- GPT-5.4 mini: 64.0 (#58)
- MiMo-V2-Flash: 59.7 (#106)

| Benchmark | GPT-5.4 mini | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1412 | 1411 |
| LMArena Creative Writing | 1370 | 1375 |
| LMArena Multi-Turn | 1429 | 1404 |
| EQ-Bench Creative Writing | 1665 | — |

## FAQ

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

GPT-5.4 mini is the stronger model overall, scoring 45.0 to 41.3 on the Noometry Index. MiMo-V2-Flash 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-Flash?

MiMo-V2-Flash 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-Flash better for coding?

GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 36.1 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-Flash share?

21 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and MiMo-V2-Flash has 21.