# Gemma 4 31B IT vs GLM-4.5V

> Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 39.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-4-31b-it-vs-glm-4-5v
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Gemma 4 31B IT scores higher in 8 categories and GLM-4.5V in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemma 4 31B IT leads 54.0 to 44.9.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Gemma 4 31B IT accepts more context: 262K tokens versus 64K.

## Snapshot

| | Gemma 4 31B IT | GLM-4.5V |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 43.2 | 39.2 |
| Rank | 85 | 158 |
| Context | 262K | 64K |
| Input $/M | $0.09 | $0.60 |
| Output $/M | $0.34 | $1.80 |
| Weights | Open | Open |

## Coding

- Gemma 4 31B IT: 41.9 (#98)
- GLM-4.5V: 38.9 (#152)

| Benchmark | Gemma 4 31B IT | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1459 | 1347 |
| LMArena WebDev | 1364 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| ALE-Bench | 925.5 | — |

## Reasoning

- Gemma 4 31B IT: 26.4 (#119)
- GLM-4.5V: 26.5 (#118)

| Benchmark | Gemma 4 31B IT | GLM-4.5V |
|---|---|---|
| Kagi LLM Benchmark | 63.5% | 59.8% |
| LMArena Hard Prompts | 1448 | 1335 |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 5% | — |
| Thematic Generalization | 53% | — |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| Epoch Capabilities Index | 142.74 | — |

## Math

- Gemma 4 31B IT: 41.3 (#72)
- GLM-4.5V: 34.7 (#157)

| Benchmark | Gemma 4 31B IT | GLM-4.5V |
|---|---|---|
| LMArena Math | 1464 | 1353 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |

## Knowledge

- Gemma 4 31B IT: 37.9 (#141)
- GLM-4.5V: 36.8 (#155)

| Benchmark | Gemma 4 31B IT | GLM-4.5V |
|---|---|---|
| LMArena Expert | 1465 | 1353 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |

## Multimodal

- Gemma 4 31B IT: 41.0 (#32)
- GLM-4.5V: 33.6 (#86)

| Benchmark | Gemma 4 31B IT | GLM-4.5V |
|---|---|---|
| LMArena Vision | 1278 | 1154 |
| LMArena Document | 1425 | — |

## Multilingual

- Gemma 4 31B IT: 54.0 (#52)
- GLM-4.5V: 44.9 (#172)

| Benchmark | Gemma 4 31B IT | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1431 | 1304 |
| LMArena Chinese | 1478 | 1338 |
| LMArena Russian | 1462 | 1299 |
| LMArena Spanish | 1443 | 1335 |
| LMArena French | 1436 | — |

## Instruction Following

- Gemma 4 31B IT: 75.6 (#58)
- GLM-4.5V: 69.4 (#170)

| Benchmark | Gemma 4 31B IT | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1433 | 1311 |

## Long Context

- Gemma 4 31B IT: 44.2 (#67)
- GLM-4.5V: 39.6 (#166)

| Benchmark | Gemma 4 31B IT | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1446 | 1305 |

## Writing & Preference

- Gemma 4 31B IT: 60.7 (#92)
- GLM-4.5V: 52.7 (#162)

| Benchmark | Gemma 4 31B IT | GLM-4.5V |
|---|---|---|
| LMArena Text | 1443 | 1333 |
| LMArena Creative Writing | 1416 | 1295 |
| LMArena Multi-Turn | 1452 | 1333 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |

## FAQ

### Is Gemma 4 31B IT better than GLM-4.5V?

Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 39.2 on the Noometry Index.

### Which is cheaper, Gemma 4 31B IT or GLM-4.5V?

Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

### Is Gemma 4 31B IT or GLM-4.5V better for coding?

Gemma 4 31B IT scores higher on coding benchmarks: 41.9 versus 38.9 in the Noometry coding category.

### Which has the bigger context window?

Gemma 4 31B IT does, with 262K tokens against 64K.

### How many benchmarks do Gemma 4 31B IT and GLM-4.5V share?

15 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and GLM-4.5V has 15.