# GPT-5-Codex vs MiniMax M1

> MiniMax M1 is the stronger model overall, scoring 40.3 to 37.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-codex-vs-minimax-m1
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 26.9.
- MiniMax M1 is cheaper at $0.55 / $2.20 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- MiniMax M1 accepts more context: 1M tokens versus 400K.
- MiniMax M1 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 37.9 | 40.3 |
| Rank | 192 | 150 |
| Context | 400K | 1M |
| Input $/M | $1.25 | $0.55 |
| Output $/M | $10 | $2.20 |
| Weights | Proprietary | Open |

## Coding

- GPT-5-Codex: 42.4 (#103)
- MiniMax M1: 39.9 (#153)

| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1359 |

## Agentic & Tool Use

- GPT-5-Codex: 31.0 (#72)
- MiniMax M1: —

| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| Terminal-Bench | 44.3% | — |

## Reasoning

- GPT-5-Codex: 30.9 (#83)
- MiniMax M1: 26.9 (#126)

| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 1339 |

## Math

- GPT-5-Codex: —
- MiniMax M1: 37.5 (#151)

| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| LMArena Math | — | 1361 |

## Knowledge

- GPT-5-Codex: —
- MiniMax M1: 36.4 (#170)

| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| LMArena Expert | — | 1317 |

## Multilingual

- GPT-5-Codex: —
- MiniMax M1: 45.8 (#163)

| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| LMArena Non-English | — | 1319 |
| LMArena Chinese | — | 1360 |
| LMArena French | — | 1370 |
| LMArena German | — | 1350 |
| LMArena Japanese | — | 1217 |
| LMArena Korean | — | 1266 |
| LMArena Russian | — | 1329 |
| LMArena Spanish | — | 1353 |

## Instruction Following

- GPT-5-Codex: —
- MiniMax M1: 69.3 (#174)

| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | — | 1312 |

## Long Context

- GPT-5-Codex: —
- MiniMax M1: 41.4 (#141)

| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| Fiction.LiveBench | — | 69.4% |
| LMArena Longer Query | — | 1326 |

## Writing & Preference

- GPT-5-Codex: —
- MiniMax M1: 53.1 (#161)

| Benchmark | GPT-5-Codex | MiniMax M1 |
|---|---|---|
| LMArena Text | — | 1343 |
| LMArena Creative Writing | — | 1298 |
| LMArena Multi-Turn | — | 1335 |

## FAQ

### Is GPT-5-Codex better than MiniMax M1?

MiniMax M1 is the stronger model overall, scoring 40.3 to 37.9 on the Noometry Index.

### Which is cheaper, GPT-5-Codex or MiniMax M1?

MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; GPT-5-Codex lists at $1.25 and $10.

### Is GPT-5-Codex or MiniMax M1 better for coding?

GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 39.9 in the Noometry coding category.

### Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 400K.

### How many benchmarks do GPT-5-Codex and MiniMax M1 share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and MiniMax M1 has 18.