Model comparison

GLM-4.5 vs Step 3.7 Flash

GLM-4.5 is the stronger model overall, scoring 42.0 to 37.3 on the Noometry Index. Step 3.7 Flash costs 2.4× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

Last verified October 10, 2026. 1 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

Step 3.7 Flash

StepFun

37.3

Rank #207 Reported

Summary

They share 1 benchmark with published results for both. GLM-4.5 scores higher in 2 categories and Step 3.7 Flash in 1 category; 3 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 21.6.
Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
Step 3.7 Flash accepts more context: 256K tokens versus 131K.

Side by side

GLM-4.5 and Step 3.7 Flash specifications
	GLM-4.5	Step 3.7 Flash
Provider	Z.ai (Zhipu)	StepFun
Noometry Index	42.0	37.3
Released	2025-07-27	2026-05-29
Weights	Open	Open
Context window	131K	256K
Max output	98K	256K
Input $ / M tokens	$0.60	$0.18
Output $ / M tokens	$2.20	$1.11
Results tracked	27	5

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Category by category

Coding GLM-4.5 leads

GLM-4.5: 41.4 (#125), Step 3.7 Flash: 40.0 (#150)

Coding benchmarks
Benchmark	GLM-4.5	Step 3.7 Flash
ALE-Bench	344.82	694.12
SWE-bench Verified (bash only)	54.2%	—
SciCode	—	40%
WeirdML	40.6%	—
LMArena Coding	1434	—
AlgoTune	1.52	—

Reasoning GLM-4.5 leads

GLM-4.5: 28.6 (#100), Step 3.7 Flash: 21.6 (#219)

Reasoning benchmarks
Benchmark	GLM-4.5	Step 3.7 Flash
Kagi LLM Benchmark	57.9%	—
NYT Connections (extended)	—	39.7%
CritPt	—	2.3%
LMArena Hard Prompts	1429	—

Math Step 3.7 Flash leads

GLM-4.5: 39.0 (#116), Step 3.7 Flash: 42.9 (#82)

Math benchmarks
Benchmark	GLM-4.5	Step 3.7 Flash
MathArena Final-Answer Competitions	—	68.5%
LMArena Math	1427	—

Knowledge Not comparable

GLM-4.5: 35.9 (#179), Step 3.7 Flash: —

Knowledge benchmarks
Benchmark	GLM-4.5	Step 3.7 Flash
Humanity's Last Exam	8.3%	—
Confabulations	11.3%	—
LMArena Expert	1433	—

Multilingual Not comparable

GLM-4.5: 52.8 (#77), Step 3.7 Flash: —

Multilingual benchmarks
Benchmark	GLM-4.5	Step 3.7 Flash
LMArena Non-English	1417	—
LMArena Chinese	1465	—
LMArena French	1418	—
LMArena German	1407	—
LMArena Japanese	1415	—
LMArena Korean	1380	—
LMArena Russian	1414	—
LMArena Spanish	1454	—

Instruction Following Not comparable

GLM-4.5: 74.1 (#104), Step 3.7 Flash: —

Instruction Following benchmarks
Benchmark	GLM-4.5	Step 3.7 Flash
LMArena Instruction Following	1404	—

Long Context Not comparable

GLM-4.5: 38.2 (#201), Step 3.7 Flash: —

Long Context benchmarks
Benchmark	GLM-4.5	Step 3.7 Flash
Fiction.LiveBench	58.3%	—
LMArena Longer Query	1412	—

Writing & Preference Not comparable

GLM-4.5: 57.5 (#127), Step 3.7 Flash: —

Writing & Preference benchmarks
Benchmark	GLM-4.5	Step 3.7 Flash
LMArena Text	1430	—
LMArena Creative Writing	1395	—
Short-Story Creative Writing	73.4%	—
EQ-Bench Creative Writing	1343	—
LMArena Multi-Turn	1415	—

Frequently asked questions

Is GLM-4.5 better than Step 3.7 Flash?

Which is cheaper, GLM-4.5 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-4.5 lists at $0.60 and $2.20.

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

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 40.0 in the Noometry coding category.

Which has the bigger context window?

Step 3.7 Flash does, with 256K tokens against 131K.

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

1 benchmark has published results for both models. GLM-4.5 has 27 scored results on Noometry and Step 3.7 Flash has 5.