# GLM-4.7-Flash vs MiMo-V2-Pro

> MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 3.7× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-mimo-v2-pro
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and MiMo-V2-Pro in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.9 to 47.7.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 38.4 | 42.4 |
| Rank | 175 | 102 |
| Context | 200K | 1.05M |
| Input $/M | $0.06 | $0.43 |
| Output $/M | $0.40 | $0.87 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- MiMo-V2-Pro: 43.4 (#76)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1383 | 1476 |
| LMArena WebDev | — | 1433 |
| ALE-Bench | — | 785.17 |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- MiMo-V2-Pro: 21.3 (#200)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 45.9% |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- MiMo-V2-Pro: 36.7 (#104)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1354 | 1447 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- MiMo-V2-Pro: 40.8 (#106)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1357 | 1479 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- MiMo-V2-Pro: 52.9 (#77)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1331 | 1416 |
| LMArena Chinese | 1403 | 1455 |
| LMArena French | 1332 | 1470 |
| LMArena German | 1336 | 1417 |
| LMArena Korean | 1284 | 1401 |
| LMArena Russian | 1333 | 1427 |
| LMArena Spanish | 1351 | 1458 |
| LMArena Japanese | — | 1366 |

## Instruction Following

- GLM-4.7-Flash: 70.3 (#162)
- MiMo-V2-Pro: 76.2 (#46)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1327 | 1444 |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- MiMo-V2-Pro: 41.5 (#133)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1345 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- MiMo-V2-Pro: 62.9 (#67)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1351 | 1436 |
| LMArena Creative Writing | 1297 | 1415 |
| LMArena Multi-Turn | 1342 | 1456 |
| EQ-Bench Creative Writing | 1125 | — |

## FAQ

### Is GLM-4.7-Flash better than MiMo-V2-Pro?

MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 3.7× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7-Flash or MiMo-V2-Pro?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.

### Is GLM-4.7-Flash or MiMo-V2-Pro better for coding?

MiMo-V2-Pro scores higher on coding benchmarks: 43.4 versus 40.0 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Pro does, with 1.05M tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and MiMo-V2-Pro share?

16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and MiMo-V2-Pro has 23.