Model Comparison
Claude Sonnet 4.6 vs GLM-5.2Which is better in 2026?
GLM-5.2 significantly outperforms across most benchmarks. GLM-5.2 is 2.8x cheaper per token.
Verdict: Claude Sonnet 4.6 vs GLM-5.2 — which is better?
Claude Sonnet 4.6 (by Anthropic) and GLM-5.2 (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Claude Sonnet 4.6 outperforms in 0 benchmarks, while GLM-5.2 is better at 3 benchmarks (GPQA, Humanity's Last Exam, MCP Atlas). GLM-5.2 significantly outperforms across most benchmarks.
On price, GLM-5.2 is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.2 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Sonnet 4.6 if…
- you want predictable pricing at $3.00/M input and $15.00/M output
Choose GLM-5.2 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- cost matters — it's about 2.8x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Sonnet 4.6 outperforms in 0 benchmarks, while GLM-5.2 is better at 3 benchmarks (GPQA, Humanity's Last Exam, MCP Atlas).
GLM-5.2 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Sonnet 4.6 ($3.00/1M tokens) is 2.1x more expensive than GLM-5.2 ($1.40/1M tokens).
For output processing, Claude Sonnet 4.6 ($15.00/1M tokens) is 3.4x more expensive than GLM-5.2 ($4.40/1M tokens).
In conclusion, Claude Sonnet 4.6 is more expensive than GLM-5.2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.2 accepts 1,000,000 input tokens compared to Claude Sonnet 4.6's 200,000 tokens. GLM-5.2 can generate longer responses up to 131,072 tokens, while Claude Sonnet 4.6 is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Sonnet 4.6 supports multimodal inputs, whereas GLM-5.2 does not.
Claude Sonnet 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Sonnet 4.6
GLM-5.2
License
Usage and distribution terms
Claude Sonnet 4.6 is licensed under a proprietary license, while GLM-5.2 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Sonnet 4.6 was released on 2026-02-17, while GLM-5.2 was released on 2026-06-16.
GLM-5.2 is 4 months newer than Claude Sonnet 4.6.
Feb 17, 2026
3 months ago
Jun 16, 2026
0 days ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Sonnet 4.6 is available from Anthropic. GLM-5.2 is available from FriendliAI, Novita, ZAI.
Claude Sonnet 4.6
GLM-5.2
Outputs Comparison
Key Takeaways
Claude Sonnet 4.6
View detailsAnthropic
GLM-5.2
View detailsZhipu AI
Detailed Comparison
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FAQ
Common questions about Claude Sonnet 4.6 vs GLM-5.2.