# GPT-5 Pro vs MiniMax-M2.7

> GPT-5 Pro is the stronger model overall, scoring 46.2 to 37.4 on the Noometry Index. MiniMax-M2.7 costs 79× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-pro-vs-minimax-m2-7
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. GPT-5 Pro scores higher in 4 categories and MiniMax-M2.7 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5 Pro leads 48.0 to 24.9.
- The biggest single-benchmark swing is WeirdML: 60.4% for GPT-5 Pro and 37% for MiniMax-M2.7.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 205K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5 Pro | MiniMax-M2.7 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 46.2 | 37.4 |
| Rank | 58 | 188 |
| Context | 400K | 205K |
| Input $/M | $15 | $0.30 |
| Output $/M | $120 | $1.20 |
| Weights | Proprietary | Open |

## Coding

- GPT-5 Pro: 43.4 (#77)
- MiniMax-M2.7: 41.4 (#115)

| Benchmark | GPT-5 Pro | MiniMax-M2.7 |
|---|---|---|
| WeirdML | 60.4% | 37% |
| LMArena WebDev | — | 1397 |
| SciCode | — | 47% |
| LMArena Coding | — | 1454 |
| ALE-Bench | — | 599.25 |
| AlgoTune | 1.31 | — |

## Agentic & Tool Use

- GPT-5 Pro: —
- MiniMax-M2.7: 24.9 (#103)

| Benchmark | GPT-5 Pro | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |

## Reasoning

- GPT-5 Pro: 39.2 (#52)
- MiniMax-M2.7: 19.0 (#248)

| Benchmark | GPT-5 Pro | MiniMax-M2.7 |
|---|---|---|
| Epoch Capabilities Index | 150.26 | 145.84 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| NYT Connections (extended) | — | 24.7% |
| ARC-AGI-1 | 70.2% | — |
| CritPt | — | 0.6% |
| EnigmaEval | 18.8% | — |
| Thematic Generalization | — | 39.3% |
| LMArena Hard Prompts | — | 1422 |

## Math

- GPT-5 Pro: 48.0 (#53)
- MiniMax-M2.7: 24.9 (#254)

| Benchmark | GPT-5 Pro | MiniMax-M2.7 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| ProofBench | — | 3% |
| LMArena Math | — | 1420 |
| FrontierMath Tier 4 (v1) | 14.6% | — |

## Knowledge

- GPT-5 Pro: 56.2 (#39)
- MiniMax-M2.7: 37.1 (#151)

| Benchmark | GPT-5 Pro | MiniMax-M2.7 |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| Vectara Hallucination Rate | — | 12.9% |
| LMArena Expert | — | 1443 |

## Multilingual

- GPT-5 Pro: —
- MiniMax-M2.7: 50.5 (#120)

| Benchmark | GPT-5 Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | — | 1382 |
| LMArena Chinese | — | 1439 |
| LMArena French | — | 1422 |
| LMArena German | — | 1398 |
| LMArena Japanese | — | 1261 |
| LMArena Korean | — | 1313 |
| LMArena Russian | — | 1383 |
| LMArena Spanish | — | 1403 |

## Instruction Following

- GPT-5 Pro: —
- MiniMax-M2.7: 74.2 (#101)

| Benchmark | GPT-5 Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | — | 1404 |

## Long Context

- GPT-5 Pro: —
- MiniMax-M2.7: 43.3 (#94)

| Benchmark | GPT-5 Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | — | 1419 |

## Writing & Preference

- GPT-5 Pro: —
- MiniMax-M2.7: 59.1 (#107)

| Benchmark | GPT-5 Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | — | 1404 |
| LMArena Creative Writing | — | 1354 |
| LMArena Multi-Turn | — | 1413 |

## FAQ

### Is GPT-5 Pro better than MiniMax-M2.7?

GPT-5 Pro is the stronger model overall, scoring 46.2 to 37.4 on the Noometry Index. MiniMax-M2.7 costs 79× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

### Which is cheaper, GPT-5 Pro or MiniMax-M2.7?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5 Pro lists at $15 and $120.

### Is GPT-5 Pro or MiniMax-M2.7 better for coding?

GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 41.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-5 Pro does, with 400K tokens against 205K.

### How many benchmarks do GPT-5 Pro and MiniMax-M2.7 share?

2 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and MiniMax-M2.7 has 30.