# GPT-5.4 mini vs MiniMax-M2.5

> GPT-5.4 mini is the stronger model overall, scoring 45.0 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 3.2× 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-minimax-m2-5
- Last updated: 2026-10-12
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. GPT-5.4 mini scores higher in 7 categories and MiniMax-M2.5 in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.4 mini leads 45.5 to 26.9.
- The biggest single-benchmark swing is NYT Connections (extended): 61.8% for GPT-5.4 mini and 16.8% for MiniMax-M2.5.
- MiniMax-M2.5 is cheaper at $0.30 / $1.20 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 205K.
- MiniMax-M2.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.4 mini | MiniMax-M2.5 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 45.0 | 38.3 |
| Rank | 76 | 188 |
| Context | 400K | 205K |
| Input $/M | $0.75 | $0.30 |
| Output $/M | $4.50 | $1.20 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.4 mini: 45.2 (#72)
- MiniMax-M2.5: 48.1 (#58)

| Benchmark | GPT-5.4 mini | MiniMax-M2.5 |
|---|---|---|
| LMArena WebDev | 1397 | 1387 |
| LMArena Coding | 1438 | 1381 |
| ALE-Bench | 1,189 | 618.17 |
| FrontierCode | 27% | — |
| SWE-bench Verified (bash only) | — | 75.8% |
| SWE-bench Multilingual | — | 68.3% |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |

## Agentic & Tool Use

- GPT-5.4 mini: 29.9 (#81)
- MiniMax-M2.5: 30.4 (#77)

| Benchmark | GPT-5.4 mini | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | — | 42.7% |
| DeepResearch Bench | 36.3% | — |
| Vending-Bench 2 | — | -23.16 |

## Reasoning

- GPT-5.4 mini: 30.4 (#85)
- MiniMax-M2.5: 17.5 (#292)

| Benchmark | GPT-5.4 mini | MiniMax-M2.5 |
|---|---|---|
| ARC-AGI-2 | 18.9% | 4.9% |
| Kagi LLM Benchmark | 37.9% | 55.2% |
| NYT Connections (extended) | 61.8% | 16.8% |
| ARC-AGI-1 | 63.7% | 63.7% |
| LMArena Hard Prompts | 1424 | 1372 |
| Epoch Capabilities Index | 148.84 | 146.68 |
| CritPt | 10% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| DTBench | 80% | — |
| LMCA | 40.8% | — |
| ForecastBench | 57 | — |

## Math

- GPT-5.4 mini: 45.5 (#75)
- MiniMax-M2.5: 26.9 (#253)

| Benchmark | GPT-5.4 mini | MiniMax-M2.5 |
|---|---|---|
| ProofBench | 21% | 4% |
| LMArena Math | 1419 | 1378 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GPT-5.4 mini: 51.5 (#67)
- MiniMax-M2.5: 39.2 (#135)

| Benchmark | GPT-5.4 mini | MiniMax-M2.5 |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 9.1% |
| LMArena Expert | 1435 | 1379 |
| GPQA Diamond | 86.9% | — |
| SimpleQA Verified | 29.4% | — |

## Multimodal

- GPT-5.4 mini: 39.7 (#56)
- MiniMax-M2.5: —

| Benchmark | GPT-5.4 mini | MiniMax-M2.5 |
|---|---|---|
| LMArena Vision | 1245 | — |

## Multilingual

- GPT-5.4 mini: 51.9 (#96)
- MiniMax-M2.5: 47.1 (#152)

| Benchmark | GPT-5.4 mini | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | 1405 | 1338 |
| LMArena Chinese | 1446 | 1393 |
| LMArena French | 1440 | 1362 |
| LMArena German | 1409 | 1362 |
| LMArena Japanese | 1374 | 1171 |
| LMArena Korean | 1368 | 1232 |
| LMArena Russian | 1417 | 1358 |
| LMArena Spanish | 1405 | 1354 |

## Instruction Following

- GPT-5.4 mini: 74.1 (#102)
- MiniMax-M2.5: 71.5 (#148)

| Benchmark | GPT-5.4 mini | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1353 |

## Long Context

- GPT-5.4 mini: 43.0 (#112)
- MiniMax-M2.5: 37.5 (#216)

| Benchmark | GPT-5.4 mini | MiniMax-M2.5 |
|---|---|---|
| LMArena Longer Query | 1407 | 1366 |
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |

## Writing & Preference

- GPT-5.4 mini: 64.0 (#58)
- MiniMax-M2.5: 53.9 (#153)

| Benchmark | GPT-5.4 mini | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | 1412 | 1359 |
| LMArena Creative Writing | 1370 | 1331 |
| EQ-Bench Creative Writing | 1665 | 1361 |
| LMArena Multi-Turn | 1429 | 1364 |

## FAQ

### Is GPT-5.4 mini better than MiniMax-M2.5?

GPT-5.4 mini is the stronger model overall, scoring 45.0 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 3.2× 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 MiniMax-M2.5?

MiniMax-M2.5 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5.4 mini lists at $0.75 and $4.50.

### Is GPT-5.4 mini or MiniMax-M2.5 better for coding?

MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 45.2 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.4 mini does, with 400K tokens against 205K.

### How many benchmarks do GPT-5.4 mini and MiniMax-M2.5 share?

27 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and MiniMax-M2.5 has 33.