# GPT-5.4 mini vs MiniMax M1

> GPT-5.4 mini is the stronger model overall, scoring 44.8 to 39.7 on the Noometry Index. MiniMax M1 costs 2.0× 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-m1
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-5.4 mini scores higher in 8 categories and MiniMax M1 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.4 to 35.7.
- MiniMax M1 is cheaper at $0.40 / $2.20 per million input/output tokens, against $0.75 / $4.50 for GPT-5.4 mini.
- MiniMax M1 accepts more context: 1M tokens versus 400K.
- MiniMax M1 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 44.8 | 39.7 |
| Rank | 69 | 146 |
| Context | 400K | 1M |
| Input $/M | $0.75 | $0.40 |
| Output $/M | $4.50 | $2.20 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.4 mini: 45.0 (#67)
- MiniMax M1: 39.2 (#149)

| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1438 | 1359 |
| 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)
- MiniMax M1: —

| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| DeepResearch Bench | 36.3% | — |

## Reasoning

- GPT-5.4 mini: 30.3 (#77)
- MiniMax M1: 25.8 (#125)

| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1340 |
| 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)
- MiniMax M1: 34.8 (#152)

| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Math | 1418 | 1360 |
| 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)
- MiniMax M1: 35.7 (#168)

| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1434 | 1316 |
| GPQA Diamond | 86.9% | — |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |

## Multimodal

- GPT-5.4 mini: 39.0 (#51)
- MiniMax M1: —

| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Vision | 1245 | — |

## Multilingual

- GPT-5.4 mini: 52.1 (#94)
- MiniMax M1: 46.0 (#157)

| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1405 | 1320 |
| LMArena Chinese | 1446 | 1361 |
| LMArena French | 1440 | 1369 |
| LMArena German | 1407 | 1350 |
| LMArena Japanese | 1375 | 1220 |
| LMArena Korean | 1369 | 1263 |
| LMArena Russian | 1417 | 1330 |
| LMArena Spanish | 1403 | 1354 |

## Instruction Following

- GPT-5.4 mini: 74.3 (#99)
- MiniMax M1: 69.5 (#169)

| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1312 |

## Long Context

- GPT-5.4 mini: 42.9 (#107)
- MiniMax M1: 41.4 (#136)

| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Longer Query | 1407 | 1326 |
| Fiction.LiveBench | — | 69.4% |

## Writing & Preference

- GPT-5.4 mini: 64.2 (#56)
- MiniMax M1: 53.3 (#155)

| Benchmark | GPT-5.4 mini | MiniMax M1 |
|---|---|---|
| LMArena Text | 1411 | 1343 |
| LMArena Creative Writing | 1370 | 1298 |
| LMArena Multi-Turn | 1429 | 1335 |
| EQ-Bench Creative Writing | 1665 | — |

## FAQ

### Is GPT-5.4 mini better than MiniMax M1?

GPT-5.4 mini is the stronger model overall, scoring 44.8 to 39.7 on the Noometry Index. MiniMax M1 costs 2.0× 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 M1?

MiniMax M1 is cheaper. It lists at $0.40 per million input tokens and $2.20 per million output tokens; GPT-5.4 mini lists at $0.75 and $4.50.

### Is GPT-5.4 mini or MiniMax M1 better for coding?

GPT-5.4 mini scores higher on coding benchmarks: 45.0 versus 39.2 in the Noometry coding category.

### Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 400K.

### How many benchmarks do GPT-5.4 mini and MiniMax M1 share?

17 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and MiniMax M1 has 18.