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Anthropic Claude Sonnet 5 VS Z.ai (Zhipu AI) GLM-4.7

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GLM-4.7 is the premium intelligence choice, scoring 10.6% higher on coding benchmarks. It also maintains strong cost efficiency. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Claude Sonnet 5 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GLM-4.7 fully justifies the cost.
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Model Specs

Claude Sonnet 5

Benchmarks & Scores

Coding (swe-bench-pro)
63.2%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
N/A

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$4.00Input: $2.00 | Output: $10.00
Context WindowLarger
1.05M tokens
Model Specs

GLM-4.7

Benchmarks & Scores

Coding (swe-bench-verified)
73.8%

good at editing existing code, cross-file updates, and multi-component systems

Reasoning (gpqa-diamond)
85.7%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)4.0x cheaper
$1.00Input: $0.60 | Output: $2.20
Context Window
204.8k tokens

Frequently Asked Questions about Claude Sonnet 5 vs GLM-4.7 comparison

GLM-4.7 is cheaper than Claude Sonnet 5. GLM-4.7 has a blended cost of $1.00/1M tokens, which is about 4.0x cheaper than Claude Sonnet 5 at $4.00/1M tokens.

For coding tasks, Claude Sonnet 5 scores 63.2% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases), while GLM-4.7 scores 73.8% on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems).