# GLM-4.7-Flash vs Step 3.7 Flash

> GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 37.3 on the Noometry Index.

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

## Summary

- The widest gap is in math, where Step 3.7 Flash leads 42.9 to 36.1.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.18 / $1.11 for Step 3.7 Flash.
- Step 3.7 Flash accepts more context: 256K tokens versus 200K.

## Snapshot

| | GLM-4.7-Flash | Step 3.7 Flash |
|---|---|---|
| Provider | Z.ai (Zhipu) | StepFun |
| Noometry Index | 38.8 | 37.3 |
| Rank | 180 | 207 |
| Context | 200K | 256K |
| Input $/M | $0.06 | $0.18 |
| Output $/M | $0.40 | $1.11 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- Step 3.7 Flash: 40.0 (#150)

| Benchmark | GLM-4.7-Flash | Step 3.7 Flash |
|---|---|---|
| SciCode | — | 40% |
| LMArena Coding | 1383 | — |
| ALE-Bench | — | 694.12 |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- Step 3.7 Flash: 21.6 (#219)

| Benchmark | GLM-4.7-Flash | Step 3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1356 | — |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- Step 3.7 Flash: 42.9 (#82)

| Benchmark | GLM-4.7-Flash | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| LMArena Math | 1355 | — |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- Step 3.7 Flash: —

| Benchmark | GLM-4.7-Flash | Step 3.7 Flash |
|---|---|---|
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- Step 3.7 Flash: —

| Benchmark | GLM-4.7-Flash | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1330 | — |
| LMArena Chinese | 1403 | — |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Russian | 1332 | — |
| LMArena Spanish | 1350 | — |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- Step 3.7 Flash: —

| Benchmark | GLM-4.7-Flash | Step 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1327 | — |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- Step 3.7 Flash: —

| Benchmark | GLM-4.7-Flash | Step 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1345 | — |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- Step 3.7 Flash: —

| Benchmark | GLM-4.7-Flash | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1297 | — |
| EQ-Bench Creative Writing | 1125 | — |
| LMArena Multi-Turn | 1342 | — |

## FAQ

### Is GLM-4.7-Flash better than Step 3.7 Flash?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 37.3 on the Noometry Index.

### Which is cheaper, GLM-4.7-Flash or Step 3.7 Flash?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Step 3.7 Flash lists at $0.18 and $1.11.

### Is GLM-4.7-Flash or Step 3.7 Flash better for coding?

They score almost the same on coding (40.6 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 200K.

### How many benchmarks do GLM-4.7-Flash and Step 3.7 Flash share?

0 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Step 3.7 Flash has 5.