Model comparison

GLM-5.1 vs Step 3.7 Flash

GLM-5.1 is the stronger model overall, scoring 47.8 to 37.3 on the Noometry Index. Step 3.7 Flash costs 5.2× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.

Last verified . 5 shared benchmarks.

GLM-5.1 Z.ai (Zhipu)

47.8

Rank #59 Confirmed

Step 3.7 Flash StepFun

37.3

Rank #207 Reported

Summary

  • They share 5 benchmarks with published results for both. GLM-5.1 scores higher in 3 categories and Step 3.7 Flash in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.1 leads 39.1 to 21.6.
  • The biggest single-benchmark swing is NYT Connections (extended): 77.7% for GLM-5.1 and 39.7% for Step 3.7 Flash.
  • Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
  • Step 3.7 Flash accepts more context: 256K tokens versus 200K.

Side by side

GLM-5.1 and Step 3.7 Flash specifications
GLM-5.1Step 3.7 Flash
ProviderZ.ai (Zhipu)StepFun
Noometry Index47.837.3
Released2026-04-072026-05-29
WeightsOpenOpen
Context window200K256K
Max output131K256K
Input $ / M tokens$1.40$0.18
Output $ / M tokens$4.40$1.11
Results tracked415

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Category by category

Coding GLM-5.1 leads

GLM-5.1: 48.7 (#55), Step 3.7 Flash: 40.0 (#150)

Coding benchmarks
BenchmarkGLM-5.1Step 3.7 Flash
SciCode43.8%40%
ALE-Bench887.1694.12
SWE-bench Verified74.2%—
LMArena WebDev1508—
WeirdML57.1%—
LMArena Coding1485—

Agentic & Tool Use Not comparable

GLM-5.1: 24.9 (#113), Step 3.7 Flash: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.1Step 3.7 Flash
APEX-Agents40.9%—
ExploitBench18.1%—
GBAEval0%—
Vending-Bench 25,634—

Reasoning GLM-5.1 leads

GLM-5.1: 39.1 (#60), Step 3.7 Flash: 21.6 (#219)

Reasoning benchmarks
BenchmarkGLM-5.1Step 3.7 Flash
NYT Connections (extended)77.7%39.7%
CritPt4.6%2.3%
SimpleBench55.1%—
Chess Puzzles19%—
Thematic Generalization69.8%—
LMArena Hard Prompts1472—
Epoch Capabilities Index149.84—

Math GLM-5.1 leads

GLM-5.1: 49.7 (#60), Step 3.7 Flash: 42.9 (#82)

Knowledge Not comparable

GLM-5.1: 54.9 (#50), Step 3.7 Flash: —

Knowledge benchmarks
BenchmarkGLM-5.1Step 3.7 Flash
GPQA Diamond89.9%—
SimpleQA Verified34%—
LMArena Expert1476—

Multilingual Not comparable

GLM-5.1: 55.0 (#36), Step 3.7 Flash: —

Multilingual benchmarks
BenchmarkGLM-5.1Step 3.7 Flash
LMArena Non-English1447—
LMArena Chinese1515—
LMArena French1474—
LMArena German1465—
LMArena Japanese1434—
LMArena Korean1418—
LMArena Russian1454—
LMArena Spanish1469—

Instruction Following Not comparable

GLM-5.1: 76.3 (#42), Step 3.7 Flash: —

Instruction Following benchmarks
BenchmarkGLM-5.1Step 3.7 Flash
LMArena Instruction Following1451—

Long Context Not comparable

GLM-5.1: 44.9 (#53), Step 3.7 Flash: —

Long Context benchmarks
BenchmarkGLM-5.1Step 3.7 Flash
LMArena Longer Query1466—

Writing & Preference Not comparable

GLM-5.1: 66.9 (#31), Step 3.7 Flash: —

Writing & Preference benchmarks
BenchmarkGLM-5.1Step 3.7 Flash
LMArena Text1461—
LMArena Creative Writing1453—
EQ-Bench Creative Writing1592—
LMArena Multi-Turn1472—

Frequently asked questions

Is GLM-5.1 better than Step 3.7 Flash?

GLM-5.1 is the stronger model overall, scoring 47.8 to 37.3 on the Noometry Index. Step 3.7 Flash costs 5.2× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.

Which is cheaper, GLM-5.1 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-5.1 lists at $1.40 and $4.40.

Is GLM-5.1 or Step 3.7 Flash better for coding?

GLM-5.1 scores higher on coding benchmarks: 48.7 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-5.1 and Step 3.7 Flash share?

5 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Step 3.7 Flash has 5.

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