Claude Opus 4.6 vs GLM-5
Claude Opus 4.6 shows notably better performance in the majority of benchmarks. GLM-5 is 6.5x cheaper per token.
Anthropic · Zhipu AI · Updated for 2026
Which is better?
Claude Opus 4.6 outperforms in 3 benchmarks (BrowseComp, SWE-Bench Verified, Terminal-Bench 2.0), while GLM-5 is better at 1 benchmark (MCP Atlas). Claude Opus 4.6 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.
Claude Opus 4.6 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Claude Opus 4.6
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
Choose GLM-5
- 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
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Claude Opus 4.6 outperforms in 3 benchmarks (BrowseComp, SWE-Bench Verified, Terminal-Bench 2.0), while GLM-5 is better at 1 benchmark (MCP Atlas).
Claude Opus 4.6 shows notably better performance in the majority of benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.6 ($5.00/1M tokens) is 5.0x more expensive than GLM-5 ($1.00/1M tokens).
For output processing, Claude Opus 4.6 ($25.00/1M tokens) is 7.8x more expensive than GLM-5 ($3.20/1M tokens).
In conclusion, Claude Opus 4.6 is more expensive than GLM-5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Opus 4.6 accepts 1,000,000 input tokens compared to GLM-5's 200,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Opus 4.6 supports multimodal inputs, whereas GLM-5 does not.
Claude Opus 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 4.6
GLM-5
License
Usage and distribution terms
Claude Opus 4.6 is licensed under a proprietary license, while GLM-5 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 4.6 was released on 2026-02-05, while GLM-5 was released on 2026-02-11.
GLM-5 is 0 month newer than Claude Opus 4.6.
Feb 5, 2026
6 months ago
Feb 11, 2026
6 months ago
6d 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 Opus 4.6 is available from Anthropic. GLM-5 is available from FriendliAI, ZAI.
Claude Opus 4.6
GLM-5
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.6 and GLM-5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.6 vs GLM-5.