Model Comparison
GLM-5 vs Claude Opus 4.5Which is better in 2026?
Claude Opus 4.5 shows notably better performance in the majority of benchmarks. GLM-5 is 6.5x cheaper per token.
Verdict: GLM-5 vs Claude Opus 4.5 — which is better?
GLM-5 (by Zhipu AI) and Claude Opus 4.5 (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 outperforms in 1 benchmarks (MCP Atlas), while Claude Opus 4.5 is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0). Claude Opus 4.5 shows notably better performance in the majority of benchmarks.
On price, GLM-5 is roughly 6.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose GLM-5 if…
- cost matters — it's about 6.5x cheaper per token
- you want the most recent training data — it shipped Feb 2026
- you need open weights you can self-host or fine-tune
Choose Claude Opus 4.5 if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 outperforms in 1 benchmarks (MCP Atlas), while Claude Opus 4.5 is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0).
Claude Opus 4.5 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5 ($1.00/1M tokens) is 5.0x cheaper than Claude Opus 4.5 ($5.00/1M tokens).
For output processing, GLM-5 ($3.20/1M tokens) is 7.8x cheaper than Claude Opus 4.5 ($25.00/1M tokens).
In conclusion, Claude Opus 4.5 is more expensive than GLM-5.*
* 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 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Claude Opus 4.5 is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Opus 4.5 supports multimodal inputs, whereas GLM-5 does not.
Claude Opus 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5
Claude Opus 4.5
License
Usage and distribution terms
GLM-5 is licensed under MIT, while Claude Opus 4.5 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 Opus 4.5 was released on 2025-11-24.
GLM-5 is 3 months newer than Claude Opus 4.5.
Feb 11, 2026
4 months ago
2mo newerNov 24, 2025
7 months ago
Knowledge Cutoff
When training data ends
Claude Opus 4.5 has a documented knowledge cutoff of 2025-03-31, while GLM-5's cutoff date is not specified.
We can confirm Claude Opus 4.5's training data extends to 2025-03-31, but cannot make a direct comparison without GLM-5's cutoff date.
—
Mar 2025
Provider Availability
GLM-5 is available from FriendliAI, ZAI. Claude Opus 4.5 is available from Anthropic.
GLM-5
Claude Opus 4.5
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Claude Opus 4.5
View detailsAnthropic
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GLM-5 and Claude Opus 4.5 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GLM-5 vs Claude Opus 4.5.