Model Comparison
GLM-5.2 vs Claude Opus 4.8Which is better in 2026?
Claude Opus 4.8 significantly outperforms across most benchmarks. GLM-5.2 is 4.7x cheaper per token.
Verdict: GLM-5.2 vs Claude Opus 4.8 — which is better?
GLM-5.2 (by Zhipu AI) and Claude Opus 4.8 (by Anthropic) 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.
GLM-5.2 outperforms in 0 benchmarks, while Claude Opus 4.8 is better at 6 benchmarks (FrontierSWE, GPQA, Humanity's Last Exam, MCP Atlas, SWE-Bench Pro, Toolathlon). Claude Opus 4.8 significantly outperforms across most benchmarks.
On price, GLM-5.2 is roughly 4.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose GLM-5.2 if…
- cost matters — it's about 4.7x cheaper per token
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
Choose Claude Opus 4.8 if…
- you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.2 outperforms in 0 benchmarks, while Claude Opus 4.8 is better at 6 benchmarks (FrontierSWE, GPQA, Humanity's Last Exam, MCP Atlas, SWE-Bench Pro, Toolathlon).
Claude Opus 4.8 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.2 ($1.40/1M tokens) is 3.6x cheaper than Claude Opus 4.8 ($5.00/1M tokens).
For output processing, GLM-5.2 ($4.40/1M tokens) is 5.7x cheaper than Claude Opus 4.8 ($25.00/1M tokens).
In conclusion, Claude Opus 4.8 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
Both models have the same input context window of 1,000,000 tokens. GLM-5.2 can generate longer responses up to 131,072 tokens, while Claude Opus 4.8 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Opus 4.8 supports multimodal inputs, whereas GLM-5.2 does not.
Claude Opus 4.8 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.2
Claude Opus 4.8
License
Usage and distribution terms
GLM-5.2 is licensed under MIT, while Claude Opus 4.8 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-5.2 was released on 2026-06-16, while Claude Opus 4.8 was released on 2026-05-28.
GLM-5.2 is 1 month newer than Claude Opus 4.8.
Jun 16, 2026
1 days ago
2w newerMay 28, 2026
2 weeks 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
GLM-5.2 is available from FriendliAI, Novita, ZAI. Claude Opus 4.8 is available from Anthropic, Vertex AI.
GLM-5.2
Claude Opus 4.8
Outputs Comparison
Key Takeaways
GLM-5.2
View detailsZhipu AI
Claude Opus 4.8
View detailsAnthropic
Detailed Comparison
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FAQ
Common questions about GLM-5.2 vs Claude Opus 4.8.