# GPT-5.2 Codex vs MiniMax-M2.7

> GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 37.4 on the Noometry Index. MiniMax-M2.7 costs 9.2× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-2-codex-vs-minimax-m2-7
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. GPT-5.2 Codex scores higher in 2 categories and MiniMax-M2.7 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.2 Codex leads 40.7 to 24.9.
- The biggest single-benchmark swing is Terminal-Bench: 66.5% for GPT-5.2 Codex and 45.1% for MiniMax-M2.7.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 Codex accepts more context: 400K tokens versus 205K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.2 Codex | MiniMax-M2.7 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 42.2 | 37.4 |
| Rank | 107 | 188 |
| Context | 400K | 205K |
| Input $/M | $1.75 | $0.30 |
| Output $/M | $14 | $1.20 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.2 Codex: 45.4 (#66)
- MiniMax-M2.7: 41.4 (#115)

| Benchmark | GPT-5.2 Codex | MiniMax-M2.7 |
|---|---|---|
| LMArena WebDev | 1339 | 1397 |
| ALE-Bench | 1,300 | 599.25 |
| SWE-bench Verified (bash only) | 72.8% | — |
| SWE-bench Multilingual | 66.3% | — |
| SciCode | — | 47% |
| WeirdML | — | 37% |
| LMArena Coding | — | 1454 |

## Agentic & Tool Use

- GPT-5.2 Codex: 40.7 (#20)
- MiniMax-M2.7: 24.9 (#103)

| Benchmark | GPT-5.2 Codex | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | 66.5% | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |

## Reasoning

- GPT-5.2 Codex: —
- MiniMax-M2.7: 19.0 (#248)

| Benchmark | GPT-5.2 Codex | MiniMax-M2.7 |
|---|---|---|
| NYT Connections (extended) | — | 24.7% |
| CritPt | — | 0.6% |
| Thematic Generalization | — | 39.3% |
| LMArena Hard Prompts | — | 1422 |
| Epoch Capabilities Index | — | 145.84 |

## Math

- GPT-5.2 Codex: —
- MiniMax-M2.7: 24.9 (#254)

| Benchmark | GPT-5.2 Codex | MiniMax-M2.7 |
|---|---|---|
| ProofBench | — | 3% |
| LMArena Math | — | 1420 |

## Knowledge

- GPT-5.2 Codex: —
- MiniMax-M2.7: 37.1 (#151)

| Benchmark | GPT-5.2 Codex | MiniMax-M2.7 |
|---|---|---|
| Vectara Hallucination Rate | — | 12.9% |
| LMArena Expert | — | 1443 |

## Multilingual

- GPT-5.2 Codex: —
- MiniMax-M2.7: 50.5 (#120)

| Benchmark | GPT-5.2 Codex | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | — | 1382 |
| LMArena Chinese | — | 1439 |
| LMArena French | — | 1422 |
| LMArena German | — | 1398 |
| LMArena Japanese | — | 1261 |
| LMArena Korean | — | 1313 |
| LMArena Russian | — | 1383 |
| LMArena Spanish | — | 1403 |

## Instruction Following

- GPT-5.2 Codex: —
- MiniMax-M2.7: 74.2 (#101)

| Benchmark | GPT-5.2 Codex | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | — | 1404 |

## Long Context

- GPT-5.2 Codex: —
- MiniMax-M2.7: 43.3 (#94)

| Benchmark | GPT-5.2 Codex | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | — | 1419 |

## Writing & Preference

- GPT-5.2 Codex: —
- MiniMax-M2.7: 59.1 (#107)

| Benchmark | GPT-5.2 Codex | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | — | 1404 |
| LMArena Creative Writing | — | 1354 |
| LMArena Multi-Turn | — | 1413 |

## FAQ

### Is GPT-5.2 Codex better than MiniMax-M2.7?

GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 37.4 on the Noometry Index. MiniMax-M2.7 costs 9.2× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.2 Codex 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-5.2 Codex lists at $1.75 and $14.

### Is GPT-5.2 Codex or MiniMax-M2.7 better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.4 versus 41.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 205K.

### How many benchmarks do GPT-5.2 Codex and MiniMax-M2.7 share?

3 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and MiniMax-M2.7 has 30.