Claude Sonnet 5 vs GLM-5.2
Claude Sonnet 5 and GLM-5.2 are closely matched at 48.5 and 45.7 on the LLM Stats Score. GLM-5.2 is 2.7x cheaper per token.
Anthropic · Zhipu AI · Updated for 2026
Which is better?
Claude Sonnet 5 and GLM-5.2 are closely matched on the overall LLM Stats Score at 48.5 and 45.7.
In the 5 individual benchmarks reported for both models, Claude Sonnet 5 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.2 is roughly 2.7x 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 (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Sonnet 5
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- you want the most recent training data — it shipped Jun 2026
Choose GLM-5.2
- cost matters — it's about 2.7x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for Claude Sonnet 5 · 19 for GLM-5.2
Claude Sonnet 5 outperforms in 5 benchmarks (DeepSWE 1.1, FrontierCode 1.1, Humanity's Last Exam, SWE-Bench Pro, Toolathlon), while GLM-5.2 is better at 0 benchmarks.
Claude Sonnet 5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Sonnet 5 ($2.00/1M tokens) is 2.1x more expensive than GLM-5.2 ($0.95/1M tokens).
For output processing, Claude Sonnet 5 ($10.00/1M tokens) is 3.3x more expensive than GLM-5.2 ($3.00/1M tokens).
In conclusion, Claude Sonnet 5 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 1,048,576 input tokens compared to Claude Sonnet 5's 1,000,000 tokens. GLM-5.2 can generate longer responses up to 131,072 tokens, while Claude Sonnet 5 is limited to 64,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Sonnet 5 supports multimodal inputs, whereas GLM-5.2 does not.
Claude Sonnet 5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Sonnet 5
GLM-5.2
License
Usage and distribution terms
Claude Sonnet 5 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 5 was released on 2026-06-30, while GLM-5.2 was released on 2026-06-16.
Claude Sonnet 5 is 0 month newer than GLM-5.2.
Jun 30, 2026
2 months ago
2w newerJun 16, 2026
2 months ago
Knowledge 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 5 is available from Anthropic. GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI.
Claude Sonnet 5
GLM-5.2
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Sonnet 5 and GLM-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Sonnet 5 vs GLM-5.2.