Noometry

Model comparison

GLM-4.7 vs GLM-5

GLM-5 is the stronger model overall, scoring 46.1 to 42.0 on the Noometry Index. GLM-4.7 costs 1.6× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.

Last verified . 31 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

GLM-5 Z.ai (Zhipu)

46.1

Rank #66 Confirmed

Summary

  • They share 31 benchmarks with published results for both. GLM-4.7 scores higher in 0 categories and GLM-5 in 9 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5 leads 46.4 to 38.6.
  • The biggest single-benchmark swing is Terminal-Bench: 33.4% for GLM-4.7 and 52.4% for GLM-5.
  • GLM-4.7 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1 / $3.20 for GLM-5.

Side by side

GLM-4.7GLM-5
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index42.046.1
Released2025-12-222026-02-11
WeightsOpenOpen
Context window205K205K
Max output131K131K
Input $ / M tokens$0.60$1
Output $ / M tokens$2.20$3.20
Results tracked3645

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Category by category

Coding GLM-5 leads

GLM-4.7: 44.0 (#79), GLM-5: 49.0 (#52)

BenchmarkGLM-4.7GLM-5
LMArena WebDev14351434
LMArena Coding14541461
ALE-Bench399.48765.62
SWE-bench Verified—72.1%
SWE-bench Verified (bash only)—72.8%
SWE-bench Multilingual—69.7%
SciCode45.1%—
WeirdML—48.2%

Agentic & Tool Use GLM-5 leads

GLM-4.7: 26.5 (#103), GLM-5: 31.1 (#71)

BenchmarkGLM-4.7GLM-5
Terminal-Bench33.4%52.4%
Vending-Bench 22,3774,432
τ²-bench Airline—82.5%
τ²-bench Banking—9.8%
τ²-bench Retail—73.7%
τ²-bench Telecom—86.8%

Reasoning GLM-5 leads

GLM-4.7: 24.3 (#164), GLM-5: 27.6 (#116)

BenchmarkGLM-4.7GLM-5
SimpleBench47.7%53.2%
Chess Puzzles6%10%
LMArena Hard Prompts14431452
Epoch Capabilities Index143.51145.83
ARC-AGI-2—4.9%
Kagi LLM Benchmark—75%
NYT Connections (extended)—74.8%
ARC-AGI-1—44.7%
CritPt1.7%—
ForecastBench—61

Math GLM-5 leads

GLM-4.7: 38.6 (#135), GLM-5: 46.4 (#71)

BenchmarkGLM-4.7GLM-5
OTIS Mock AIME 2024-202583.3%80%
LMArena Math14231440
FrontierMath (Feb 2025 set)2.4%16.4%
FrontierMath Tier 4 (v1)0%2.1%
MathArena Final-Answer Competitions—65.7%
ProofBench6%—

Knowledge GLM-5 leads

GLM-4.7: 47.0 (#80), GLM-5: 52.3 (#64)

BenchmarkGLM-4.7GLM-5
GPQA Diamond83.3%87.8%
Vectara Hallucination Rate11.7%10.1%
LMArena Expert14241454
SimpleQA Verified32.2%—

Multilingual Too close to call

GLM-4.7: 52.8 (#79), GLM-5: 53.7 (#58)

BenchmarkGLM-4.7GLM-5
LMArena Non-English14171430
LMArena Chinese14951511
LMArena French14321455
LMArena German14241445
LMArena Japanese14391416
LMArena Korean13991423
LMArena Russian14231436
LMArena Spanish14341454

Instruction Following Too close to call

GLM-4.7: 74.4 (#95), GLM-5: 75.2 (#67)

BenchmarkGLM-4.7GLM-5
LMArena Instruction Following14111428

Long Context GLM-5 leads

GLM-4.7: 42.8 (#116), GLM-5: 44.7 (#60)

BenchmarkGLM-4.7GLM-5
CL-bench15.9%18.7%
LMArena Longer Query14321446
CL-bench Life10.9%—

Writing & Preference GLM-5 leads

GLM-4.7: 60.9 (#93), GLM-5: 66.0 (#38)

BenchmarkGLM-4.7GLM-5
LMArena Text14351446
LMArena Creative Writing14011439
EQ-Bench Creative Writing14131601
LMArena Multi-Turn14461456

Frequently asked questions

Is GLM-4.7 better than GLM-5?

GLM-5 is the stronger model overall, scoring 46.1 to 42.0 on the Noometry Index. GLM-4.7 costs 1.6× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.

Which is cheaper, GLM-4.7 or GLM-5?

GLM-4.7 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; GLM-5 lists at $1 and $3.20.

Is GLM-4.7 or GLM-5 better for coding?

GLM-5 scores higher on coding benchmarks: 49.0 versus 44.0 in the Noometry coding category.

Which has the bigger context window?

Both accept 205K tokens.

How many benchmarks do GLM-4.7 and GLM-5 share?

31 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and GLM-5 has 45.

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