Model comparison

Claude Sonnet 4.6 vs GLM-4.7

Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 41.7 on the Noometry Index. GLM-4.7 costs 6.0× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Last verified . 33 shared benchmarks.

Claude Sonnet 4.6 Anthropic

50.1

Rank #42 Confirmed

GLM-4.7 Z.ai (Zhipu)

41.7

Rank #117 Confirmed

Summary

  • They share 33 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 9 categories and GLM-4.7 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Claude Sonnet 4.6 leads 46.1 to 23.7.
  • The biggest single-benchmark swing is ProofBench: 45% for Claude Sonnet 4.6 and 6% for GLM-4.7.
  • GLM-4.7 is cheaper at $0.60 / $2.20 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
  • Claude Sonnet 4.6 accepts more context: 1M tokens versus 205K.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.6 and GLM-4.7 specifications
Claude Sonnet 4.6GLM-4.7
ProviderAnthropicZ.ai (Zhipu)
Noometry Index50.141.7
Released2026-02-172025-12-22
WeightsProprietaryOpen
Context window1M205K
Max output128K131K
Input $ / M tokens$3$0.60
Output $ / M tokens$15$2.20
Results tracked5736

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Category by category

Coding Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.0 (#62), GLM-4.7: 43.6 (#74)

Coding benchmarks
BenchmarkClaude Sonnet 4.6GLM-4.7
LMArena WebDev15211435
SciCode46.8%45.1%
LMArena Coding15041454
ALE-Bench1,327399.48
SWE-bench Verified75.2%—
DeepSWE29.9%—
FrontierCode24.3%—
WeirdML66.1%—

Agentic & Tool Use Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 39.1 (#26), GLM-4.7: 26.4 (#96)

Agentic & Tool Use benchmarks
BenchmarkClaude Sonnet 4.6GLM-4.7
Terminal-Bench53.4%33.4%
Vending-Bench 27,2042,377
APEX-Agents43%—
OSWorld 2.09.3%—
DeepResearch Bench54.9%—
OSWorld72.1%—
ExploitBench23.6%—
GBAEval48.8%—
GDP.pdf18%—
LMArena Search1221—

Reasoning Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.1 (#40), GLM-4.7: 23.7 (#161)

Reasoning benchmarks
BenchmarkClaude Sonnet 4.6GLM-4.7
CritPt3.1%1.7%
Chess Puzzles13%6%
LMArena Hard Prompts14851443
Epoch Capabilities Index152.25143.53
ARC-AGI-260.4%—
SimpleBench—47.7%
NYT Connections (extended)80.9%—
ARC-AGI-186.5%—
Thematic Generalization76.3%—
Mystery Game Puzzles16%—
DTBench89.9%—
LMCA46.5%—
ForecastBench62—

Math Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 51.9 (#41), GLM-4.7: 37.7 (#92)

Math benchmarks
BenchmarkClaude Sonnet 4.6GLM-4.7
OTIS Mock AIME 2024-202585.8%83.3%
ProofBench45%6%
LMArena Math14631423
FrontierMath (Feb 2025 set)32.4%2.4%
FrontierMath Tier 4 (v1)8.3%0%

Knowledge Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 51.6 (#60), GLM-4.7: 47.0 (#74)

Knowledge benchmarks
BenchmarkClaude Sonnet 4.6GLM-4.7
GPQA Diamond87.4%83.3%
SimpleQA Verified35.5%32.2%
Vectara Hallucination Rate10.6%11.7%
LMArena Expert15001424

Multimodal Not comparable

Claude Sonnet 4.6: 38.0 (#61), GLM-4.7: —

Multimodal benchmarks
BenchmarkClaude Sonnet 4.6GLM-4.7
LMArena Vision1283—
Blueprint-Bench 26.7%—
LMArena Document1482—

Multilingual Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 54.6 (#39), GLM-4.7: 53.0 (#75)

Multilingual benchmarks
BenchmarkClaude Sonnet 4.6GLM-4.7
LMArena Non-English14401417
LMArena Chinese14911495
LMArena French14651432
LMArena German14281426
LMArena Japanese14191439
LMArena Korean14111401
LMArena Russian14401423
LMArena Spanish14651433

Instruction Following Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 77.6 (#23), GLM-4.7: 74.6 (#90)

Instruction Following benchmarks
BenchmarkClaude Sonnet 4.6GLM-4.7
LMArena Instruction Following14761411

Long Context Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 45.3 (#40), GLM-4.7: 42.8 (#111)

Long Context benchmarks
BenchmarkClaude Sonnet 4.6GLM-4.7
LMArena Longer Query14791432
CL-bench—15.9%
CL-bench Life—10.9%

Writing & Preference Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 70.4 (#22), GLM-4.7: 61.1 (#89)

Writing & Preference benchmarks
BenchmarkClaude Sonnet 4.6GLM-4.7
LMArena Text14581436
LMArena Creative Writing14351401
EQ-Bench Creative Writing18101413
LMArena Multi-Turn14641446
EQ-Bench 41207—

Frequently asked questions

Is Claude Sonnet 4.6 better than GLM-4.7?

Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 41.7 on the Noometry Index. GLM-4.7 costs 6.0× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4.6 or GLM-4.7?

GLM-4.7 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.

Is Claude Sonnet 4.6 or GLM-4.7 better for coding?

Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 43.6 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.6 does, with 1M tokens against 205K.

How many benchmarks do Claude Sonnet 4.6 and GLM-4.7 share?

33 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and GLM-4.7 has 36.

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