# GLM-4.7-Flash vs MiMo-V2.5-Pro

> MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 3.7× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-mimo-v2-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and MiMo-V2.5-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5-Pro leads 65.3 to 47.4.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 200K.

## Snapshot

| | GLM-4.7-Flash | MiMo-V2.5-Pro |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 38.8 | 45.2 |
| Rank | 180 | 74 |
| Context | 200K | 1.05M |
| Input $/M | $0.06 | $0.43 |
| Output $/M | $0.40 | $0.87 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- MiMo-V2.5-Pro: 47.4 (#60)

| Benchmark | GLM-4.7-Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Coding | 1383 | 1503 |
| LMArena WebDev | — | 1479 |
| SciCode | — | 50.2% |
| ALE-Bench | — | 899.8 |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- MiMo-V2.5-Pro: 26.8 (#130)

| Benchmark | GLM-4.7-Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1488 |
| NYT Connections (extended) | — | 34.4% |
| CritPt | — | 4% |
| Chess Puzzles | 0% | — |
| DTBench | — | 84.5% |
| LMCA | — | 29.5% |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- MiMo-V2.5-Pro: 40.0 (#96)

| Benchmark | GLM-4.7-Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Math | 1355 | 1481 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| ProofBench | — | 22% |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- MiMo-V2.5-Pro: 42.2 (#98)

| Benchmark | GLM-4.7-Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1357 | 1503 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- MiMo-V2.5-Pro: 55.1 (#34)

| Benchmark | GLM-4.7-Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1330 | 1449 |
| LMArena Chinese | 1403 | 1507 |
| LMArena French | 1332 | 1488 |
| LMArena German | 1337 | 1458 |
| LMArena Korean | 1283 | 1437 |
| LMArena Russian | 1332 | 1450 |
| LMArena Spanish | 1350 | 1471 |
| LMArena Japanese | — | 1412 |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- MiMo-V2.5-Pro: 77.5 (#21)

| Benchmark | GLM-4.7-Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1327 | 1477 |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- MiMo-V2.5-Pro: 45.4 (#37)

| Benchmark | GLM-4.7-Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1345 | 1483 |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- MiMo-V2.5-Pro: 65.3 (#49)

| Benchmark | GLM-4.7-Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1351 | 1465 |
| LMArena Creative Writing | 1297 | 1440 |
| EQ-Bench Creative Writing | 1125 | 1493 |
| LMArena Multi-Turn | 1342 | 1477 |
| EQ-Bench 4 | — | 1208 |

## FAQ

### Is GLM-4.7-Flash better than MiMo-V2.5-Pro?

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 3.7× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7-Flash or MiMo-V2.5-Pro?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.

### Is GLM-4.7-Flash or MiMo-V2.5-Pro better for coding?

MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 40.6 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.5-Pro does, with 1.05M tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and MiMo-V2.5-Pro share?

17 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and MiMo-V2.5-Pro has 27.