# GPT-5.2 Codex vs MiniMax-M3

> MiniMax-M3 is the stronger model overall, scoring 43.8 to 42.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-2-codex-vs-minimax-m3
- Last updated: 2026-10-12
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. GPT-5.2 Codex scores higher in 2 categories and MiniMax-M3 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.2 Codex leads 41.0 to 22.6.
- MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- MiniMax-M3 accepts more context: 1M tokens versus 400K.
- MiniMax-M3 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.2 Codex | MiniMax-M3 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 42.6 | 43.8 |
| Rank | 111 | 85 |
| Context | 400K | 1M |
| Input $/M | $1.75 | $0.30 |
| Output $/M | $14 | $1.20 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.2 Codex: 45.5 (#71)
- MiniMax-M3: 41.8 (#118)

| Benchmark | GPT-5.2 Codex | MiniMax-M3 |
|---|---|---|
| LMArena WebDev | 1339 | 1482 |
| ALE-Bench | 1,300 | 640.02 |
| FrontierCode | — | 14.7% |
| SWE-bench Verified (bash only) | 72.8% | — |
| SWE-bench Multilingual | 66.3% | — |
| SciCode | — | 47.1% |
| LMArena Coding | — | 1469 |

## Agentic & Tool Use

- GPT-5.2 Codex: 41.0 (#22)
- MiniMax-M3: 22.6 (#130)

| Benchmark | GPT-5.2 Codex | MiniMax-M3 |
|---|---|---|
| Terminal-Bench | 66.5% | — |
| APEX-Agents | — | 37.7% |
| OSWorld 2.0 | — | 4.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 2,158 |

## Reasoning

- GPT-5.2 Codex: —
- MiniMax-M3: 30.1 (#87)

| Benchmark | GPT-5.2 Codex | MiniMax-M3 |
|---|---|---|
| SimpleBench | — | 45.8% |
| NYT Connections (extended) | — | 65.1% |
| CritPt | — | 3.7% |
| Chess Puzzles | — | 14% |
| LMArena Hard Prompts | — | 1447 |
| Mystery Game Puzzles | — | 8% |
| DTBench | — | 78.9% |
| LMCA | — | 33.7% |
| Surface Evolver Bench | — | 55% |
| Epoch Capabilities Index | — | 146.95 |
| ForecastBench | — | 61.4 |

## Math

- GPT-5.2 Codex: —
- MiniMax-M3: 40.0 (#95)

| Benchmark | GPT-5.2 Codex | MiniMax-M3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 71.1% |
| ProofBench | — | 18% |
| LMArena Math | — | 1429 |

## Knowledge

- GPT-5.2 Codex: —
- MiniMax-M3: 58.4 (#35)

| Benchmark | GPT-5.2 Codex | MiniMax-M3 |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| LMArena Expert | — | 1461 |

## Multimodal

- GPT-5.2 Codex: —
- MiniMax-M3: 40.2 (#51)

| Benchmark | GPT-5.2 Codex | MiniMax-M3 |
|---|---|---|
| LMArena Vision | — | 1253 |
| LMArena Document | — | 1435 |

## Multilingual

- GPT-5.2 Codex: —
- MiniMax-M3: 53.0 (#75)

| Benchmark | GPT-5.2 Codex | MiniMax-M3 |
|---|---|---|
| LMArena Non-English | — | 1420 |
| LMArena Chinese | — | 1463 |
| LMArena French | — | 1447 |
| LMArena German | — | 1426 |
| LMArena Japanese | — | 1381 |
| LMArena Korean | — | 1372 |
| LMArena Russian | — | 1428 |
| LMArena Spanish | — | 1432 |

## Instruction Following

- GPT-5.2 Codex: —
- MiniMax-M3: 75.5 (#62)

| Benchmark | GPT-5.2 Codex | MiniMax-M3 |
|---|---|---|
| LMArena Instruction Following | — | 1433 |

## Long Context

- GPT-5.2 Codex: —
- MiniMax-M3: 44.2 (#72)

| Benchmark | GPT-5.2 Codex | MiniMax-M3 |
|---|---|---|
| LMArena Longer Query | — | 1445 |

## Writing & Preference

- GPT-5.2 Codex: —
- MiniMax-M3: 62.1 (#83)

| Benchmark | GPT-5.2 Codex | MiniMax-M3 |
|---|---|---|
| LMArena Text | — | 1433 |
| LMArena Creative Writing | — | 1404 |
| EQ-Bench 4 | — | 1150 |
| LMArena Multi-Turn | — | 1442 |

## FAQ

### Is GPT-5.2 Codex better than MiniMax-M3?

MiniMax-M3 is the stronger model overall, scoring 43.8 to 42.6 on the Noometry Index.

### Which is cheaper, GPT-5.2 Codex or MiniMax-M3?

MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

### Is GPT-5.2 Codex or MiniMax-M3 better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 41.8 in the Noometry coding category.

### Which has the bigger context window?

MiniMax-M3 does, with 1M tokens against 400K.

### How many benchmarks do GPT-5.2 Codex and MiniMax-M3 share?

2 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and MiniMax-M3 has 41.