Model Comparison
Claude Opus 4.8 vs GLM-5.1Which is better in 2026?
Claude Opus 4.8 significantly outperforms across most benchmarks. GLM-5.1 is 4.7x cheaper per token.
Verdict: Claude Opus 4.8 vs GLM-5.1 — which is better?
Claude Opus 4.8 (by Anthropic) and GLM-5.1 (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 Opus 4.8 outperforms in 12 benchmarks (BrowseComp, CyberGym, Finance Agent v2, FrontierSWE, GDPval-AA, GPQA, Humanity's Last Exam, LiveBench, MCP Atlas, SWE-Bench Pro, Terminal-Bench 2.0, Toolathlon), while GLM-5.1 is better at 0 benchmarks. Claude Opus 4.8 significantly outperforms across most benchmarks.
On price, GLM-5.1 is roughly 4.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Opus 4.8 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Opus 4.8 if…
- you want the strongest raw capability — it leads on 12 of 12 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped May 2026
Choose GLM-5.1 if…
- cost matters — it's about 4.7x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Opus 4.8 outperforms in 12 benchmarks (BrowseComp, CyberGym, Finance Agent v2, FrontierSWE, GDPval-AA, GPQA, Humanity's Last Exam, LiveBench, MCP Atlas, SWE-Bench Pro, Terminal-Bench 2.0, Toolathlon), while GLM-5.1 is better at 0 benchmarks.
Claude Opus 4.8 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.8 ($5.00/1M tokens) is 3.6x more expensive than GLM-5.1 ($1.40/1M tokens).
For output processing, Claude Opus 4.8 ($25.00/1M tokens) is 5.7x more expensive than GLM-5.1 ($4.40/1M tokens).
In conclusion, Claude Opus 4.8 is more expensive than GLM-5.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Opus 4.8 accepts 1,000,000 input tokens compared to GLM-5.1's 200,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Opus 4.8 supports multimodal inputs, whereas GLM-5.1 does not.
Claude Opus 4.8 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 4.8
GLM-5.1
License
Usage and distribution terms
Claude Opus 4.8 is licensed under a proprietary license, while GLM-5.1 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 Opus 4.8 was released on 2026-05-28, while GLM-5.1 was released on 2026-04-07.
Claude Opus 4.8 is 2 months newer than GLM-5.1.
May 28, 2026
1 months ago
1mo newerApr 7, 2026
3 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 Opus 4.8 is available from Anthropic, Vertex AI. GLM-5.1 is available from FriendliAI, ZAI.
Claude Opus 4.8
GLM-5.1
Outputs Comparison
Key Takeaways
Claude Opus 4.8
View detailsAnthropic
GLM-5.1
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Claude Opus 4.8 and GLM-5.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Claude Opus 4.8 vs GLM-5.1.