Claude Opus 5 vs GLM-5
Claude Opus 5 leads the LLM Stats Score 54.6 to 37.1. GLM-5 is 6.5x cheaper per token.
Anthropic · Zhipu AI · Updated for 2026
Which is better?
Claude Opus 5 leads the overall LLM Stats Score 54.6 to 37.1, ranking #5 overall.
In the 1 individual benchmarks reported for both models, Claude Opus 5 wins 1; this is a narrower head-to-head signal than the composite indexes.
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 5 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Opus 5
- overall performance matters — it scores 54.6 and ranks #5 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose GLM-5
- cost matters — it's about 6.5x cheaper per token
- 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
13 reported for Claude Opus 5 · 5 for GLM-5
Claude Opus 5 outperforms in 1 benchmarks (BrowseComp), while GLM-5 is better at 0 benchmarks.
Claude Opus 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 Opus 5 ($5.00/1M tokens) is 5.0x more expensive than GLM-5 ($1.00/1M tokens).
For output processing, Claude Opus 5 ($25.00/1M tokens) is 7.8x more expensive than GLM-5 ($3.20/1M tokens).
In conclusion, Claude Opus 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
Claude Opus 5 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
Documented input modalities across available providers
Claude Opus 5 supports multimodal inputs, whereas GLM-5 does not.
Claude Opus 5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 5
GLM-5
License
Usage and distribution terms
Claude Opus 5 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 5 was released on 2026-07-24, while GLM-5 was released on 2026-02-11.
Claude Opus 5 is 5 months newer than GLM-5.
Jul 24, 2026
1 months ago
5mo newerFeb 11, 2026
7 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 5 is available from Anthropic, DeepInfra. GLM-5 is available from FriendliAI, ZAI.
Claude Opus 5
GLM-5
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 5 and GLM-5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 5 vs GLM-5.