# GPT-5.3 Chat vs MiniMax-M3

> MiniMax-M3 is the stronger model overall, scoring 43.5 to 42.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-3-chat-vs-minimax-m3
- 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 1 category and MiniMax-M3 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 38.2.
- MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- MiniMax-M3 accepts more context: 1M tokens versus 128K.
- MiniMax-M3 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Chat | MiniMax-M3 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 42.1 | 43.5 |
| Rank | 109 | 81 |
| Context | 128K | 1M |
| Input $/M | $1.75 | $0.30 |
| Output $/M | $14 | $1.20 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Chat: 40.8 (#124)
- MiniMax-M3: 41.5 (#111)

| Benchmark | GPT-5.3 Chat | MiniMax-M3 |
|---|---|---|
| LMArena Coding | 1408 | 1470 |
| FrontierCode | — | 14.7% |
| LMArena WebDev | — | 1482 |
| SciCode | — | 47.1% |
| ALE-Bench | — | 640.02 |

## Agentic & Tool Use

- GPT-5.3 Chat: —
- MiniMax-M3: 22.5 (#121)

| Benchmark | GPT-5.3 Chat | MiniMax-M3 |
|---|---|---|
| APEX-Agents | — | 37.7% |
| OSWorld 2.0 | — | 4.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 2,158 |

## Reasoning

- GPT-5.3 Chat: 27.3 (#105)
- MiniMax-M3: 29.3 (#83)

| Benchmark | GPT-5.3 Chat | MiniMax-M3 |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1447 |
| SimpleBench | — | 45.8% |
| NYT Connections (extended) | — | 65.1% |
| CritPt | — | 3.7% |
| Chess Puzzles | — | 14% |
| Mystery Game Puzzles | — | 8% |
| DTBench | — | 78.9% |
| LMCA | — | 33.7% |
| Surface Evolver Bench | — | 55% |
| Epoch Capabilities Index | — | 147 |
| ForecastBench | — | 61.4 |

## Math

- GPT-5.3 Chat: 35.4 (#146)
- MiniMax-M3: 39.1 (#83)

| Benchmark | GPT-5.3 Chat | MiniMax-M3 |
|---|---|---|
| LMArena Math | 1389 | 1432 |
| OTIS Mock AIME 2024-2025 | — | 71.1% |
| ProofBench | — | 18% |

## Knowledge

- GPT-5.3 Chat: 38.2 (#137)
- MiniMax-M3: 58.4 (#32)

| Benchmark | GPT-5.3 Chat | MiniMax-M3 |
|---|---|---|
| LMArena Expert | 1397 | 1462 |
| GPQA Diamond | — | 90.9% |

## Multimodal

- GPT-5.3 Chat: —
- MiniMax-M3: 39.5 (#45)

| Benchmark | GPT-5.3 Chat | MiniMax-M3 |
|---|---|---|
| LMArena Vision | — | 1254 |
| LMArena Document | — | 1435 |

## Multilingual

- GPT-5.3 Chat: 50.5 (#119)
- MiniMax-M3: 53.2 (#70)

| Benchmark | GPT-5.3 Chat | MiniMax-M3 |
|---|---|---|
| LMArena Non-English | 1383 | 1420 |
| LMArena Chinese | 1433 | 1465 |
| LMArena French | 1398 | 1445 |
| LMArena German | 1384 | 1424 |
| LMArena Japanese | 1351 | 1381 |
| LMArena Korean | 1347 | 1372 |
| LMArena Russian | 1400 | 1430 |
| LMArena Spanish | 1371 | 1431 |

## Instruction Following

- GPT-5.3 Chat: 73.0 (#124)
- MiniMax-M3: 75.7 (#56)

| Benchmark | GPT-5.3 Chat | MiniMax-M3 |
|---|---|---|
| LMArena Instruction Following | 1378 | 1433 |

## Long Context

- GPT-5.3 Chat: 42.6 (#115)
- MiniMax-M3: 44.2 (#68)

| Benchmark | GPT-5.3 Chat | MiniMax-M3 |
|---|---|---|
| LMArena Longer Query | 1396 | 1445 |

## Writing & Preference

- GPT-5.3 Chat: 63.3 (#65)
- MiniMax-M3: 62.3 (#79)

| Benchmark | GPT-5.3 Chat | MiniMax-M3 |
|---|---|---|
| LMArena Text | 1389 | 1433 |
| LMArena Creative Writing | 1356 | 1405 |
| LMArena Multi-Turn | 1413 | 1441 |
| EQ-Bench Creative Writing | 1690 | — |
| EQ-Bench 4 | — | 1150 |

## FAQ

### Is GPT-5.3 Chat better than MiniMax-M3?

MiniMax-M3 is the stronger model overall, scoring 43.5 to 42.1 on the Noometry Index.

### Which is cheaper, GPT-5.3 Chat or MiniMax-M3?

MiniMax-M3 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-M3 better for coding?

They score almost the same on coding (40.8 vs 41.5); test both on your own repository before choosing.

### Which has the bigger context window?

MiniMax-M3 does, with 1M tokens against 128K.

### How many benchmarks do GPT-5.3 Chat and MiniMax-M3 share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and MiniMax-M3 has 41.