# GLM-4.5V vs Step 3.7 Flash

> GLM-4.5V is the stronger model overall, scoring 39.8 to 37.3 on the Noometry Index. Step 3.7 Flash costs 2.2× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-step-3-7-flash
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GLM-4.5V leads 27.4 to 21.6.
- Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Step 3.7 Flash accepts more context: 256K tokens versus 64K.

## Snapshot

| | GLM-4.5V | Step 3.7 Flash |
|---|---|---|
| Provider | Z.ai (Zhipu) | StepFun |
| Noometry Index | 39.8 | 37.3 |
| Rank | 158 | 207 |
| Context | 64K | 256K |
| Input $/M | $0.60 | $0.18 |
| Output $/M | $1.80 | $1.11 |
| Weights | Open | Open |

## Coding

- GLM-4.5V: 39.5 (#155)
- Step 3.7 Flash: 40.0 (#150)

| Benchmark | GLM-4.5V | Step 3.7 Flash |
|---|---|---|
| SciCode | — | 40% |
| LMArena Coding | 1347 | — |
| ALE-Bench | — | 694.12 |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- Step 3.7 Flash: 21.6 (#219)

| Benchmark | GLM-4.5V | Step 3.7 Flash |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | — |
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
| LMArena Hard Prompts | 1334 | — |

## Math

- GLM-4.5V: 37.4 (#159)
- Step 3.7 Flash: 42.9 (#82)

| Benchmark | GLM-4.5V | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
| LMArena Math | 1354 | — |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- Step 3.7 Flash: —

| Benchmark | GLM-4.5V | Step 3.7 Flash |
|---|---|---|
| LMArena Expert | 1353 | — |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- Step 3.7 Flash: —

| Benchmark | GLM-4.5V | Step 3.7 Flash |
|---|---|---|
| LMArena Vision | 1154 | — |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- Step 3.7 Flash: —

| Benchmark | GLM-4.5V | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1303 | — |
| LMArena Chinese | 1337 | — |
| LMArena Russian | 1298 | — |
| LMArena Spanish | 1336 | — |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- Step 3.7 Flash: —

| Benchmark | GLM-4.5V | Step 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1311 | — |

## Long Context

- GLM-4.5V: 39.6 (#171)
- Step 3.7 Flash: —

| Benchmark | GLM-4.5V | Step 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1304 | — |

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- Step 3.7 Flash: —

| Benchmark | GLM-4.5V | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| LMArena Multi-Turn | 1332 | — |

## FAQ

### Is GLM-4.5V better than Step 3.7 Flash?

GLM-4.5V is the stronger model overall, scoring 39.8 to 37.3 on the Noometry Index. Step 3.7 Flash costs 2.2× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5V or Step 3.7 Flash?

Step 3.7 Flash is cheaper. It lists at $0.18 per million input tokens and $1.11 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

### Is GLM-4.5V or Step 3.7 Flash better for coding?

They score almost the same on coding (39.5 vs 40.0); test both on your own repository before choosing.

### Which has the bigger context window?

Step 3.7 Flash does, with 256K tokens against 64K.

### How many benchmarks do GLM-4.5V and Step 3.7 Flash share?

0 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Step 3.7 Flash has 5.