# GPT-5.3 Chat vs MiMo-V2-Pro

> GPT-5.3 Chat and MiMo-V2-Pro score almost the same on the Noometry Index (42.8 vs 43.0), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-5-3-chat-vs-mimo-v2-pro
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 3 categories and MiMo-V2-Pro in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.3 Chat leads 28.5 to 22.1.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 128K.

## Snapshot

| | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| Provider | OpenAI | Xiaomi |
| Noometry Index | 42.8 | 43.0 |
| Rank | 109 | 103 |
| Context | 128K | 1.05M |
| Input $/M | $1.75 | $0.43 |
| Output $/M | $14 | $0.87 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5.3 Chat: 41.4 (#124)
- MiMo-V2-Pro: 43.8 (#83)

| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1408 | 1476 |
| LMArena WebDev | — | 1433 |
| ALE-Bench | — | 785.17 |

## Reasoning

- GPT-5.3 Chat: 28.5 (#102)
- MiMo-V2-Pro: 22.1 (#206)

| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |

## Math

- GPT-5.3 Chat: 38.2 (#142)
- MiMo-V2-Pro: 39.5 (#102)

| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1389 | 1447 |

## Knowledge

- GPT-5.3 Chat: 38.8 (#140)
- MiMo-V2-Pro: 41.4 (#111)

| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1397 | 1478 |

## Multilingual

- GPT-5.3 Chat: 50.3 (#124)
- MiMo-V2-Pro: 52.7 (#81)

| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1382 | 1416 |
| LMArena Chinese | 1432 | 1456 |
| LMArena French | 1397 | 1469 |
| LMArena German | 1384 | 1417 |
| LMArena Japanese | 1352 | 1366 |
| LMArena Korean | 1346 | 1400 |
| LMArena Russian | 1400 | 1427 |
| LMArena Spanish | 1371 | 1457 |

## Instruction Following

- GPT-5.3 Chat: 72.8 (#129)
- MiMo-V2-Pro: 76.0 (#49)

| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1378 | 1445 |

## Long Context

- GPT-5.3 Chat: 42.6 (#120)
- MiMo-V2-Pro: 41.5 (#138)

| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1396 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |

## Writing & Preference

- GPT-5.3 Chat: 63.1 (#68)
- MiMo-V2-Pro: 62.8 (#70)

| Benchmark | GPT-5.3 Chat | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1389 | 1436 |
| LMArena Creative Writing | 1355 | 1415 |
| LMArena Multi-Turn | 1412 | 1456 |
| EQ-Bench Creative Writing | 1690 | — |

## FAQ

### Is GPT-5.3 Chat better than MiMo-V2-Pro?

GPT-5.3 Chat and MiMo-V2-Pro score almost the same on the Noometry Index (42.8 vs 43.0), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-5.3 Chat 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-5.3 Chat lists at $1.75 and $14.

### Is GPT-5.3 Chat or MiMo-V2-Pro better for coding?

MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 41.4 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Pro does, with 1.05M tokens against 128K.

### How many benchmarks do GPT-5.3 Chat and MiMo-V2-Pro share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and MiMo-V2-Pro has 23.