# GPT-5.3 Chat vs MiniMax-M2.7

> GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 9.2× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-3-chat-vs-minimax-m2-7
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 4 categories and MiniMax-M2.7 in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.3 Chat leads 38.2 to 25.9.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- MiniMax-M2.7 accepts more context: 205K tokens versus 128K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Chat | MiniMax-M2.7 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 42.8 | 37.7 |
| Rank | 109 | 196 |
| Context | 128K | 205K |
| Input $/M | $1.75 | $0.30 |
| Output $/M | $14 | $1.20 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Chat: 41.4 (#124)
- MiniMax-M2.7: 41.8 (#120)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Coding | 1408 | 1454 |
| LMArena WebDev | — | 1398 |
| SciCode | — | 47% |
| WeirdML | — | 37% |
| ALE-Bench | — | 599.25 |

## Agentic & Tool Use

- GPT-5.3 Chat: —
- MiniMax-M2.7: 25.1 (#111)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |

## Reasoning

- GPT-5.3 Chat: 28.5 (#102)
- MiniMax-M2.7: 19.7 (#253)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1422 |
| NYT Connections (extended) | — | 24.7% |
| CritPt | — | 0.6% |
| Thematic Generalization | — | 39.3% |
| Epoch Capabilities Index | — | 145.85 |

## Math

- GPT-5.3 Chat: 38.2 (#142)
- MiniMax-M2.7: 25.9 (#263)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Math | 1389 | 1420 |
| ProofBench | — | 3% |

## Knowledge

- GPT-5.3 Chat: 38.8 (#140)
- MiniMax-M2.7: 37.7 (#152)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Expert | 1397 | 1444 |
| Vectara Hallucination Rate | — | 12.9% |

## Multilingual

- GPT-5.3 Chat: 50.3 (#124)
- MiniMax-M2.7: 50.3 (#123)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1382 | 1382 |
| LMArena Chinese | 1432 | 1441 |
| LMArena French | 1397 | 1421 |
| LMArena German | 1384 | 1398 |
| LMArena Japanese | 1352 | 1262 |
| LMArena Korean | 1346 | 1313 |
| LMArena Russian | 1400 | 1383 |
| LMArena Spanish | 1371 | 1403 |

## Instruction Following

- GPT-5.3 Chat: 72.8 (#129)
- MiniMax-M2.7: 74.1 (#103)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1378 | 1405 |

## Long Context

- GPT-5.3 Chat: 42.6 (#120)
- MiniMax-M2.7: 43.3 (#99)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1396 | 1419 |

## Writing & Preference

- GPT-5.3 Chat: 63.1 (#68)
- MiniMax-M2.7: 58.9 (#112)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1389 | 1405 |
| LMArena Creative Writing | 1355 | 1354 |
| LMArena Multi-Turn | 1412 | 1412 |
| EQ-Bench Creative Writing | 1690 | — |

## FAQ

### Is GPT-5.3 Chat better than MiniMax-M2.7?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 9.2× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.3 Chat 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-5.3 Chat lists at $1.75 and $14.

### Is GPT-5.3 Chat or MiniMax-M2.7 better for coding?

They score almost the same on coding (41.4 vs 41.8); test both on your own repository before choosing.

### Which has the bigger context window?

MiniMax-M2.7 does, with 205K tokens against 128K.

### How many benchmarks do GPT-5.3 Chat and MiniMax-M2.7 share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and MiniMax-M2.7 has 30.