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Claude Sonnet 4.6 vs GLM-4.7
Comprehensive side-by-side LLM comparison
Claude Sonnet 4.6 leads with 15.7% higher average benchmark score. Claude Sonnet 4.6 offers 59.9K more tokens in context window than GLM-4.7. GLM-4.7 is $17.00 cheaper per million tokens. Claude Sonnet 4.6 supports multimodal inputs. Claude Sonnet 4.6 is available on 3 providers. Overall, Claude Sonnet 4.6 is the stronger choice for coding tasks.
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Anthropic
Claude Sonnet 4.6 is a general-purpose language model from Anthropic, released in February 2026 as an update to the Sonnet 4 line that introduced adaptive thinking — a mode where the model automatically calibrates its reasoning depth based on task complexity rather than requiring manual configuration by the developer. The model accepts text and image inputs and integrates natively with web search and code execution tools, consolidating capabilities that previously required separate toolchain setup into a unified API surface. It became the primary workhorse model in the Claude 4 series for code assistance, agentic pipelines, and retrieval-augmented applications that benefit from built-in web access.
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Zhipu AI
GLM-4.7, released by Zhipu AI on December 22, 2025, is a large language model with approximately 400 billion parameters from the GLM-4 family, designed for deep mathematical reasoning, multi-file software engineering, and stable agentic orchestration. It features a 200K token context window and 128K maximum output tokens, supporting extended code and analysis generation. GLM-4.7 targets advanced open-source deployments under an MIT license via Zhipu AI's Z.ai platform.
1 month newer
GLM-4.7
Zhipu AI
2025-12-22
Claude Sonnet 4.6
Anthropic
2026-02-17
Pricing Comparison
Cost per million tokens (USD)
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Claude Sonnet 4.6
Input:$3.00
Output:$15.00
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GLM-4.7
Input:$0.50
Output:$0.50($17.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Claude Sonnet 4.6
Average Score:69.3%(+15.7%)
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GLM-4.7
Average Score:53.6%
Performance comparison across key benchmark categories
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Claude Sonnet 4.6
Coding69.3%(+15.7%)
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GLM-4.7
Coding53.6%
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Knowledge Cutoff
Training data recency comparison
Claude Sonnet 4.6
2025-08
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Claude Sonnet 4.6
3 providers
Anthropic
AWS Bedrock
Google Cloud Vertex AI
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GLM-4.7
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Claude Sonnet 4.6
Avg Score:69.3%(+15.7%)
Providers:3
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GLM-4.7
Avg Score:53.6%
Providers:1