# GLM-4.6 vs MiMo-V2.6-Flash

> MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 41.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-mimo-v2-6-flash
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-4.6 scores higher in 0 categories and MiMo-V2.6-Flash in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.6-Flash leads 53.4 to 40.1.
- The biggest single-benchmark swing is SciCode: 38.4% for GLM-4.6 and 51.3% for MiMo-V2.6-Flash.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 205K.

## Snapshot

| | GLM-4.6 | MiMo-V2.6-Flash |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 41.4 | 48.5 |
| Rank | 135 | 55 |
| Context | 205K | 1.05M |
| Input $/M | $0.60 | $0.14 |
| Output $/M | $2.20 | $0.28 |
| Weights | Open | Open |

## Coding

- GLM-4.6: 40.1 (#148)
- MiMo-V2.6-Flash: 53.4 (#30)

| Benchmark | GLM-4.6 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena WebDev | 1340 | 1637 |
| SciCode | 38.4% | 51.3% |
| LMArena Coding | 1449 | 1504 |
| SWE-bench Verified (bash only) | 55.4% | — |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.3 (#66)
- MiMo-V2.6-Flash: —

| Benchmark | GLM-4.6 | MiMo-V2.6-Flash |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.7 (#172)
- MiMo-V2.6-Flash: 36.5 (#66)

| Benchmark | GLM-4.6 | MiMo-V2.6-Flash |
|---|---|---|
| CritPt | 1.1% | 12% |
| LMArena Hard Prompts | 1440 | 1482 |
| Kagi LLM Benchmark | 47.4% | — |

## Math

- GLM-4.6: 39.1 (#111)
- MiMo-V2.6-Flash: 51.9 (#52)

| Benchmark | GLM-4.6 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Math | 1432 | 1468 |
| ProofBench | — | 63% |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 40.2 (#124)
- MiMo-V2.6-Flash: 42.2 (#99)

| Benchmark | GLM-4.6 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1431 | 1501 |
| Vectara Hallucination Rate | 9.5% | — |

## Multimodal

- GLM-4.6: —
- MiMo-V2.6-Flash: 40.5 (#47)

| Benchmark | GLM-4.6 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | — | 1259 |

## Multilingual

- GLM-4.6: 53.5 (#66)
- MiMo-V2.6-Flash: 54.0 (#51)

| Benchmark | GLM-4.6 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1426 | 1434 |
| LMArena Chinese | 1499 | 1511 |
| LMArena French | 1459 | 1475 |
| LMArena Russian | 1419 | 1409 |
| LMArena Spanish | 1436 | 1456 |
| LMArena German | 1447 | — |
| LMArena Japanese | 1393 | — |
| LMArena Korean | 1400 | — |

## Instruction Following

- GLM-4.6: 74.3 (#98)
- MiMo-V2.6-Flash: 76.8 (#35)

| Benchmark | GLM-4.6 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1410 | 1463 |

## Long Context

- GLM-4.6: 43.4 (#94)
- MiMo-V2.6-Flash: 44.8 (#57)

| Benchmark | GLM-4.6 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1422 | 1463 |

## Writing & Preference

- GLM-4.6: 61.1 (#90)
- MiMo-V2.6-Flash: 63.1 (#67)

| Benchmark | GLM-4.6 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1440 | 1455 |
| LMArena Creative Writing | 1411 | 1400 |
| LMArena Multi-Turn | 1427 | 1451 |
| EQ-Bench Creative Writing | 1411 | — |

## FAQ

### Is GLM-4.6 better than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 41.4 on the Noometry Index.

### Which is cheaper, GLM-4.6 or MiMo-V2.6-Flash?

MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

### Is GLM-4.6 or MiMo-V2.6-Flash better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 40.1 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 205K.

### How many benchmarks do GLM-4.6 and MiMo-V2.6-Flash share?

17 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and MiMo-V2.6-Flash has 19.