# GLM-4.6 vs MiMo-V2-Flash

> GLM-4.6 and MiMo-V2-Flash score almost the same on the Noometry Index (41.4 vs 41.3), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-mimo-v2-flash
- Last updated: 2026-10-11
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. GLM-4.6 scores higher in 7 categories and MiMo-V2-Flash in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.6 leads 40.1 to 36.1.
- The biggest single-benchmark swing is SciCode: 38.4% for GLM-4.6 and 25.9% for MiMo-V2-Flash.
- MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
- MiMo-V2-Flash accepts more context: 262K tokens versus 205K.

## Snapshot

| | GLM-4.6 | MiMo-V2-Flash |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 41.4 | 41.3 |
| Rank | 135 | 138 |
| Context | 205K | 262K |
| Input $/M | $0.60 | $0.14 |
| Output $/M | $2.20 | $0.28 |
| Weights | Open | Open |

## Coding

- GLM-4.6: 40.1 (#148)
- MiMo-V2-Flash: 36.1 (#211)

| Benchmark | GLM-4.6 | MiMo-V2-Flash |
|---|---|---|
| LMArena WebDev | 1340 | 1330 |
| SciCode | 38.4% | 25.9% |
| LMArena Coding | 1449 | 1443 |
| ALE-Bench | 340.82 | 737.95 |
| SWE-bench Verified (bash only) | 55.4% | — |

## Agentic & Tool Use

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

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

## Reasoning

- GLM-4.6: 23.7 (#172)
- MiMo-V2-Flash: 24.9 (#157)

| Benchmark | GLM-4.6 | MiMo-V2-Flash |
|---|---|---|
| CritPt | 1.1% | 0% |
| LMArena Hard Prompts | 1440 | 1420 |
| Kagi LLM Benchmark | 47.4% | — |

## Math

- GLM-4.6: 39.1 (#111)
- MiMo-V2-Flash: 38.3 (#139)

| Benchmark | GLM-4.6 | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1432 | 1396 |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 40.2 (#124)
- MiMo-V2-Flash: 39.7 (#131)

| Benchmark | GLM-4.6 | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1431 | 1425 |
| Vectara Hallucination Rate | 9.5% | — |

## Multilingual

- GLM-4.6: 53.5 (#66)
- MiMo-V2-Flash: 51.0 (#113)

| Benchmark | GLM-4.6 | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1426 | 1392 |
| LMArena Chinese | 1499 | 1462 |
| LMArena French | 1459 | 1429 |
| LMArena German | 1447 | 1395 |
| LMArena Japanese | 1393 | 1325 |
| LMArena Korean | 1400 | 1358 |
| LMArena Russian | 1419 | 1387 |
| LMArena Spanish | 1436 | 1420 |

## Instruction Following

- GLM-4.6: 74.3 (#98)
- MiMo-V2-Flash: 73.5 (#120)

| Benchmark | GLM-4.6 | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1410 | 1392 |

## Long Context

- GLM-4.6: 43.4 (#94)
- MiMo-V2-Flash: 43.0 (#110)

| Benchmark | GLM-4.6 | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1422 | 1409 |

## Writing & Preference

- GLM-4.6: 61.1 (#90)
- MiMo-V2-Flash: 59.7 (#106)

| Benchmark | GLM-4.6 | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1440 | 1411 |
| LMArena Creative Writing | 1411 | 1375 |
| LMArena Multi-Turn | 1427 | 1404 |
| EQ-Bench Creative Writing | 1411 | — |

## FAQ

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

GLM-4.6 and MiMo-V2-Flash score almost the same on the Noometry Index (41.4 vs 41.3), so choose on price, context window or the category you care about most.

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

MiMo-V2-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-Flash better for coding?

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 36.1 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Flash does, with 262K tokens against 205K.

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

21 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and MiMo-V2-Flash has 21.