# GPT-5.3 Chat vs MiniMax-M2.1

> GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 38.9 on the Noometry Index. MiniMax-M2.1 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-m2-1
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 5 categories and MiniMax-M2.1 in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.3 Chat leads 28.5 to 16.6.
- MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- MiniMax-M2.1 accepts more context: 205K tokens versus 128K.
- MiniMax-M2.1 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Chat | MiniMax-M2.1 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 42.8 | 38.9 |
| Rank | 109 | 178 |
| 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-M2.1: 40.4 (#143)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.1 |
|---|---|---|
| LMArena Coding | 1408 | 1421 |
| LMArena WebDev | — | 1384 |
| ALE-Bench | — | 623.83 |

## Agentic & Tool Use

- GPT-5.3 Chat: —
- MiniMax-M2.1: 27.9 (#98)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.1 |
|---|---|---|
| Terminal-Bench | — | 36.6% |

## Reasoning

- GPT-5.3 Chat: 28.5 (#102)
- MiniMax-M2.1: 16.6 (#302)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.1 |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1411 |
| NYT Connections (extended) | — | 11.2% |

## Math

- GPT-5.3 Chat: 38.2 (#142)
- MiniMax-M2.1: 38.3 (#138)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.1 |
|---|---|---|
| LMArena Math | 1389 | 1397 |

## Knowledge

- GPT-5.3 Chat: 38.8 (#140)
- MiniMax-M2.1: 38.3 (#147)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.1 |
|---|---|---|
| LMArena Expert | 1397 | 1431 |
| Vectara Hallucination Rate | — | 11.8% |

## Multilingual

- GPT-5.3 Chat: 50.3 (#124)
- MiniMax-M2.1: 50.0 (#128)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.1 |
|---|---|---|
| LMArena Non-English | 1382 | 1378 |
| LMArena Chinese | 1432 | 1430 |
| LMArena French | 1397 | 1404 |
| LMArena German | 1384 | 1381 |
| LMArena Japanese | 1352 | 1287 |
| LMArena Korean | 1346 | 1298 |
| LMArena Russian | 1400 | 1387 |
| LMArena Spanish | 1371 | 1397 |

## Instruction Following

- GPT-5.3 Chat: 72.8 (#129)
- MiniMax-M2.1: 73.8 (#112)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.1 |
|---|---|---|
| LMArena Instruction Following | 1378 | 1400 |

## Long Context

- GPT-5.3 Chat: 42.6 (#120)
- MiniMax-M2.1: 43.2 (#101)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.1 |
|---|---|---|
| LMArena Longer Query | 1396 | 1416 |

## Writing & Preference

- GPT-5.3 Chat: 63.1 (#68)
- MiniMax-M2.1: 58.3 (#120)

| Benchmark | GPT-5.3 Chat | MiniMax-M2.1 |
|---|---|---|
| LMArena Text | 1389 | 1392 |
| LMArena Creative Writing | 1355 | 1361 |
| LMArena Multi-Turn | 1412 | 1396 |
| EQ-Bench Creative Writing | 1690 | — |

## FAQ

### Is GPT-5.3 Chat better than MiniMax-M2.1?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 38.9 on the Noometry Index. MiniMax-M2.1 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-M2.1?

MiniMax-M2.1 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-M2.1 better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 40.4 in the Noometry coding category.

### Which has the bigger context window?

MiniMax-M2.1 does, with 205K tokens against 128K.

### How many benchmarks do GPT-5.3 Chat and MiniMax-M2.1 share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and MiniMax-M2.1 has 22.