# GLM-5.3 vs MiMo-V2-Omni

> GLM-5.3 is the stronger model overall, scoring 54.6 to 42.9 on the Noometry Index. MiMo-V2-Omni costs 12× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-5-3-vs-mimo-v2-omni
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-5.3 scores higher in 8 categories and MiMo-V2-Omni in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3 leads 62.1 to 36.4.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
- GLM-5.3 accepts more context: 1M tokens versus 262K.
- GLM-5.3 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.3 | MiMo-V2-Omni |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 54.6 | 42.9 |
| Rank | 25 | 91 |
| Context | 1M | 262K |
| Input $/M | $1.40 | $0.14 |
| Output $/M | $4.40 | $0.28 |
| Weights | Open | Proprietary |

## Coding

- GLM-5.3: 59.0 (#12)
- MiMo-V2-Omni: 42.7 (#87)

| Benchmark | GLM-5.3 | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1499 | 1467 |
| DeepSWE | 69% | — |
| FrontierCode | 40.1% | — |
| LMArena WebDev | 1623 | — |
| FrontierSWE | 30.2% | — |
| SciCode | 59% | — |
| WeirdML | 75.4% | — |
| ALE-Bench | 1,317 | — |

## Agentic & Tool Use

- GLM-5.3: 36.3 (#34)
- MiMo-V2-Omni: —

| Benchmark | GLM-5.3 | MiMo-V2-Omni |
|---|---|---|
| APEX-Agents | 56.6% | — |
| Vending-Bench 2 | 8,164 | — |

## Reasoning

- GLM-5.3: 45.2 (#42)
- MiMo-V2-Omni: 28.6 (#86)

| Benchmark | GLM-5.3 | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1491 | 1445 |
| NYT Connections (extended) | 74.2% | — |
| CritPt | 19.1% | — |
| Chess Puzzles | 21% | — |
| Mystery Game Puzzles | 33% | — |
| DTBench | 87.7% | — |
| LMCA | 55.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 155.56 | — |

## Math

- GLM-5.3: 62.1 (#27)
- MiMo-V2-Omni: 36.4 (#112)

| Benchmark | GLM-5.3 | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1493 | 1432 |
| FrontierMath (Tiers 1-3) | 68.8% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 91.1% | — |
| ProofBench | 49% | — |

## Knowledge

- GLM-5.3: 58.3 (#34)
- MiMo-V2-Omni: 39.9 (#114)

| Benchmark | GLM-5.3 | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1512 | 1449 |
| GPQA Diamond | 90.9% | — |
| SimpleQA Verified | 41% | — |

## Multimodal

- GLM-5.3: —
- MiMo-V2-Omni: 37.9 (#62)

| Benchmark | GLM-5.3 | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |

## Multilingual

- GLM-5.3: 55.9 (#27)
- MiMo-V2-Omni: 52.0 (#97)

| Benchmark | GLM-5.3 | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1457 | 1404 |
| LMArena Chinese | 1523 | 1469 |
| LMArena French | 1499 | 1448 |
| LMArena German | 1505 | 1398 |
| LMArena Japanese | 1438 | 1318 |
| LMArena Korean | 1478 | 1355 |
| LMArena Russian | 1460 | 1412 |
| LMArena Spanish | 1444 | 1432 |

## Instruction Following

- GLM-5.3: 77.8 (#15)
- MiMo-V2-Omni: 75.4 (#62)

| Benchmark | GLM-5.3 | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1481 | 1428 |

## Long Context

- GLM-5.3: 45.5 (#32)
- MiMo-V2-Omni: 44.1 (#72)

| Benchmark | GLM-5.3 | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1485 | 1442 |

## Writing & Preference

- GLM-5.3: 75.9 (#6)
- MiMo-V2-Omni: 61.6 (#83)

| Benchmark | GLM-5.3 | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1473 | 1424 |
| LMArena Creative Writing | 1459 | 1393 |
| LMArena Multi-Turn | 1473 | 1446 |
| EQ-Bench Creative Writing | 2075 | — |

## FAQ

### Is GLM-5.3 better than MiMo-V2-Omni?

GLM-5.3 is the stronger model overall, scoring 54.6 to 42.9 on the Noometry Index. MiMo-V2-Omni costs 12× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

### Which is cheaper, GLM-5.3 or MiMo-V2-Omni?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

### Is GLM-5.3 or MiMo-V2-Omni better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.0 versus 42.7 in the Noometry coding category.

### Which has the bigger context window?

GLM-5.3 does, with 1M tokens against 262K.

### How many benchmarks do GLM-5.3 and MiMo-V2-Omni share?

17 benchmarks have published results for both models. GLM-5.3 has 41 scored results on Noometry and MiMo-V2-Omni has 18.