Model comparison

GLM-5V-Turbo vs Step 3.7 Flash

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.3 on the Noometry Index. Step 3.7 Flash costs 4.6× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

GLM-5V-Turbo Z.ai (Zhipu)

43.8

Rank #84 Confirmed

Step 3.7 Flash StepFun

37.3

Rank #207 Reported

Summary

  • The widest gap is in reasoning, where GLM-5V-Turbo leads 29.7 to 21.6.
  • Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • Step 3.7 Flash accepts more context: 256K tokens versus 200K.
  • Step 3.7 Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5V-Turbo and Step 3.7 Flash specifications
GLM-5V-TurboStep 3.7 Flash
ProviderZ.ai (Zhipu)StepFun
Noometry Index43.837.3
Released2026-04-012026-05-29
WeightsProprietaryOpen
Context window200K256K
Max output131K256K
Input $ / M tokens$1.20$0.18
Output $ / M tokens$4$1.11
Results tracked195

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Category by category

Coding GLM-5V-Turbo leads

GLM-5V-Turbo: 42.1 (#111), Step 3.7 Flash: 40.0 (#150)

Coding benchmarks
BenchmarkGLM-5V-TurboStep 3.7 Flash
LMArena WebDev1401—
SciCode—40%
LMArena Coding1466—
ALE-Bench—694.12

Reasoning GLM-5V-Turbo leads

GLM-5V-Turbo: 29.7 (#89), Step 3.7 Flash: 21.6 (#219)

Reasoning benchmarks
BenchmarkGLM-5V-TurboStep 3.7 Flash
NYT Connections (extended)—39.7%
CritPt—2.3%
LMArena Hard Prompts1443—

Math Step 3.7 Flash leads

GLM-5V-Turbo: 39.4 (#106), Step 3.7 Flash: 42.9 (#82)

Math benchmarks
BenchmarkGLM-5V-TurboStep 3.7 Flash
MathArena Final-Answer Competitions—68.5%
LMArena Math1441—

Knowledge Not comparable

GLM-5V-Turbo: 40.6 (#117), Step 3.7 Flash: —

Knowledge benchmarks
BenchmarkGLM-5V-TurboStep 3.7 Flash
LMArena Expert1452—

Multimodal Not comparable

GLM-5V-Turbo: 40.9 (#42), Step 3.7 Flash: —

Multimodal benchmarks
BenchmarkGLM-5V-TurboStep 3.7 Flash
LMArena Vision1264—
LMArena Document1416—

Multilingual Not comparable

GLM-5V-Turbo: 53.0 (#73), Step 3.7 Flash: —

Multilingual benchmarks
BenchmarkGLM-5V-TurboStep 3.7 Flash
LMArena Non-English1420—
LMArena Chinese1488—
LMArena French1444—
LMArena German1423—
LMArena Korean1396—
LMArena Russian1431—
LMArena Spanish1450—

Instruction Following Not comparable

GLM-5V-Turbo: 75.0 (#80), Step 3.7 Flash: —

Instruction Following benchmarks
BenchmarkGLM-5V-TurboStep 3.7 Flash
LMArena Instruction Following1423—

Long Context Not comparable

GLM-5V-Turbo: 44.0 (#80), Step 3.7 Flash: —

Long Context benchmarks
BenchmarkGLM-5V-TurboStep 3.7 Flash
LMArena Longer Query1438—

Writing & Preference Not comparable

GLM-5V-Turbo: 62.5 (#73), Step 3.7 Flash: —

Writing & Preference benchmarks
BenchmarkGLM-5V-TurboStep 3.7 Flash
LMArena Text1437—
LMArena Creative Writing1416—
LMArena Multi-Turn1432—

Frequently asked questions

Is GLM-5V-Turbo better than Step 3.7 Flash?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.3 on the Noometry Index. Step 3.7 Flash costs 4.6× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Which is cheaper, GLM-5V-Turbo 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-5V-Turbo lists at $1.20 and $4.

Is GLM-5V-Turbo or Step 3.7 Flash better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 40.0 in the Noometry coding category.

Which has the bigger context window?

Step 3.7 Flash does, with 256K tokens against 200K.

How many benchmarks do GLM-5V-Turbo and Step 3.7 Flash share?

0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Step 3.7 Flash has 5.

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