# GPT-5-Codex vs MiMo-V2.6-Pro

> MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 37.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-codex-vs-mimo-v2-6-pro
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where MiMo-V2.6-Pro leads 53.2 to 41.9.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 400K.
- MiMo-V2.6-Pro has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5-Codex | MiMo-V2.6-Pro |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 37.3 | 46.7 |
| Rank | 190 | 55 |
| Context | 400K | 1.05M |
| Input $/M | $1.25 | $0.43 |
| Output $/M | $10 | $0.87 |
| Weights | Proprietary | Open |

## Coding

- GPT-5-Codex: 41.9 (#100)
- MiMo-V2.6-Pro: 53.2 (#27)

| Benchmark | GPT-5-Codex | MiMo-V2.6-Pro |
|---|---|---|
| LMArena WebDev | — | 1618 |
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1538 |

## Agentic & Tool Use

- GPT-5-Codex: 30.8 (#66)
- MiMo-V2.6-Pro: —

| Benchmark | GPT-5-Codex | MiMo-V2.6-Pro |
|---|---|---|
| Terminal-Bench | 44.3% | — |

## Reasoning

- GPT-5-Codex: 30.0 (#80)
- MiMo-V2.6-Pro: 30.4 (#76)

| Benchmark | GPT-5-Codex | MiMo-V2.6-Pro |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 1511 |

## Math

- GPT-5-Codex: —
- MiMo-V2.6-Pro: 37.9 (#91)

| Benchmark | GPT-5-Codex | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | — | 1497 |

## Knowledge

- GPT-5-Codex: —
- MiMo-V2.6-Pro: 43.0 (#85)

| Benchmark | GPT-5-Codex | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | — | 1548 |

## Multimodal

- GPT-5-Codex: —
- MiMo-V2.6-Pro: 40.2 (#40)

| Benchmark | GPT-5-Codex | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1265 |

## Multilingual

- GPT-5-Codex: —
- MiMo-V2.6-Pro: 57.0 (#15)

| Benchmark | GPT-5-Codex | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1532 |
| LMArena Russian | — | 1481 |

## Instruction Following

- GPT-5-Codex: —
- MiMo-V2.6-Pro: 78.2 (#10)

| Benchmark | GPT-5-Codex | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1490 |

## Long Context

- GPT-5-Codex: —
- MiMo-V2.6-Pro: 46.0 (#26)

| Benchmark | GPT-5-Codex | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | — | 1500 |

## Writing & Preference

- GPT-5-Codex: —
- MiMo-V2.6-Pro: 66.9 (#32)

| Benchmark | GPT-5-Codex | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | — | 1491 |
| LMArena Creative Writing | — | 1465 |
| LMArena Multi-Turn | — | 1463 |

## FAQ

### Is GPT-5-Codex better than MiMo-V2.6-Pro?

MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 37.3 on the Noometry Index.

### Which is cheaper, GPT-5-Codex or MiMo-V2.6-Pro?

MiMo-V2.6-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-V2.6-Pro better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 53.2 versus 41.9 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 400K.

### How many benchmarks do GPT-5-Codex and MiMo-V2.6-Pro share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and MiMo-V2.6-Pro has 14.