GLM-5 vs Claude Sonnet 4.6 Comparison
Comparing GLM-5 and Claude Sonnet 4.6 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 outperforms in 2 benchmarks (BrowseComp, MCP Atlas), while Claude Sonnet 4.6 is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Claude Sonnet 4.6 supports multimodal inputs, whereas GLM-5 does not.
Claude Sonnet 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5
Claude Sonnet 4.6
License
Usage and distribution terms
GLM-5 is licensed under MIT, while Claude Sonnet 4.6 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5 was released on 2026-02-11, while Claude Sonnet 4.6 was released on 2026-02-17.
Claude Sonnet 4.6 is 0 month newer than GLM-5.
Feb 11, 2026
1 months ago
Feb 17, 2026
4 weeks ago
6d newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Claude Sonnet 4.6
View detailsAnthropic
Detailed Comparison
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