# GPT-5-Codex vs MiMo-V2-Pro

> MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 37.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-codex-vs-mimo-v2-pro
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 22.1.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 400K.

## Snapshot

| | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 37.9 | 43.0 |
| Rank | 192 | 103 |
| Context | 400K | 1.05M |
| Input $/M | $1.25 | $0.43 |
| Output $/M | $10 | $0.87 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5-Codex: 42.4 (#103)
- MiMo-V2-Pro: 43.8 (#83)

| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | — | 1433 |
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1476 |
| ALE-Bench | — | 785.17 |

## Agentic & Tool Use

- GPT-5-Codex: 31.0 (#72)
- MiMo-V2-Pro: —

| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| Terminal-Bench | 44.3% | — |

## Reasoning

- GPT-5-Codex: 30.9 (#83)
- MiMo-V2-Pro: 22.1 (#206)

| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
| LMArena Hard Prompts | — | 1457 |

## Math

- GPT-5-Codex: —
- MiMo-V2-Pro: 39.5 (#102)

| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | — | 1447 |

## Knowledge

- GPT-5-Codex: —
- MiMo-V2-Pro: 41.4 (#111)

| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | — | 1478 |

## Multilingual

- GPT-5-Codex: —
- MiMo-V2-Pro: 52.7 (#81)

| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | — | 1416 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Russian | — | 1427 |
| LMArena Spanish | — | 1457 |

## Instruction Following

- GPT-5-Codex: —
- MiMo-V2-Pro: 76.0 (#49)

| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1445 |

## Long Context

- GPT-5-Codex: —
- MiMo-V2-Pro: 41.5 (#138)

| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
| LMArena Longer Query | — | 1455 |

## Writing & Preference

- GPT-5-Codex: —
- MiMo-V2-Pro: 62.8 (#70)

| Benchmark | GPT-5-Codex | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | — | 1436 |
| LMArena Creative Writing | — | 1415 |
| LMArena Multi-Turn | — | 1456 |

## FAQ

### Is GPT-5-Codex better than MiMo-V2-Pro?

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 37.9 on the Noometry Index.

### Which is cheaper, GPT-5-Codex or MiMo-V2-Pro?

MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GPT-5-Codex lists at $1.25 and $10.

### Is GPT-5-Codex or MiMo-V2-Pro better for coding?

MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 42.4 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Pro does, with 1.05M tokens against 400K.

### How many benchmarks do GPT-5-Codex and MiMo-V2-Pro share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and MiMo-V2-Pro has 23.