Claude Opus 5 vs GLM-5.3-Flash
Claude Opus 5 and GLM-5.3-Flash are closely matched at 56.2 and 51.6 on the LLM Stats Score. GLM-5.3-Flash is 42.1x cheaper per token.
Anthropic · Zhipu AI · Updated for 2026
Which is better?
Claude Opus 5 and GLM-5.3-Flash are closely matched on the overall LLM Stats Score at 56.2 and 51.6.
In the 3 individual benchmarks reported for both models, Claude Opus 5 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.3-Flash is roughly 42.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3-Flash also accepts a larger context window (1,048,576 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
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
Choose GLM-5.3-Flash
- cost matters — it's about 42.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
- 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
12 reported for Claude Opus 5 · 15 for GLM-5.3-Flash
Claude Opus 5 outperforms in 2 benchmarks (DeepSWE 1.1, Humanity's Last Exam), while GLM-5.3-Flash is better at 1 benchmark (AutomationBench).
Claude Opus 5 shows notably better performance in the majority of 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 33.3x more expensive than GLM-5.3-Flash ($0.15/1M tokens).
For output processing, Claude Opus 5 ($25.00/1M tokens) is 50.0x more expensive than GLM-5.3-Flash ($0.50/1M tokens).
In conclusion, Claude Opus 5 is more expensive than GLM-5.3-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.3-Flash accepts 1,048,576 input tokens compared to Claude Opus 5's 1,000,000 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while Claude Opus 5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Opus 5 and GLM-5.3-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 5
GLM-5.3-Flash
License
Usage and distribution terms
Claude Opus 5 is licensed under a proprietary license, while GLM-5.3-Flash 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-5.3-Flash was released on 2026-08-26.
GLM-5.3-Flash is 1 month newer than Claude Opus 5.
Jul 24, 2026
1 months ago
Aug 26, 2026
2 days ago
1mo 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 5 is available from Anthropic. GLM-5.3-Flash is available from DeepInfra, Novita, ZAI.
Claude Opus 5
GLM-5.3-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 5 and GLM-5.3-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 5 vs GLM-5.3-Flash.