Claude Opus 4.8 vs GLM-5.3-Flash
Claude Opus 4.8 has a slight edge in benchmark performance. GLM-5.3-Flash is 42.1x cheaper per token.
Anthropic · Zhipu AI · Updated for 2026
Which is better?
Claude Opus 4.8 outperforms in 3 benchmarks (CharXiv-R, Humanity's Last Exam, OfficeQA Pro), while GLM-5.3-Flash is better at 2 benchmarks (DeepSWE 1.1, Toolathlon). Claude Opus 4.8 has a slight edge in benchmark performance.
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.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Claude Opus 4.8
- you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
Choose GLM-5.3-Flash
- cost matters — it's about 42.1x cheaper per token
- 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.
Performance Benchmarks
Comparative analysis across standard metrics
Claude Opus 4.8 outperforms in 3 benchmarks (CharXiv-R, Humanity's Last Exam, OfficeQA Pro), while GLM-5.3-Flash is better at 2 benchmarks (DeepSWE 1.1, Toolathlon).
Claude Opus 4.8 has a slight edge in benchmark performance.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.8 ($5.00/1M tokens) is 33.3x more expensive than GLM-5.3-Flash ($0.15/1M tokens).
For output processing, Claude Opus 4.8 ($25.00/1M tokens) is 50.0x more expensive than GLM-5.3-Flash ($0.50/1M tokens).
In conclusion, Claude Opus 4.8 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
Both models have the same input context window of 1,000,000 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while Claude Opus 4.8 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both Claude Opus 4.8 and GLM-5.3-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 4.8
GLM-5.3-Flash
License
Usage and distribution terms
Claude Opus 4.8 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 4.8 was released on 2026-05-28, while GLM-5.3-Flash was released on 2026-08-26.
GLM-5.3-Flash is 3 months newer than Claude Opus 4.8.
May 28, 2026
3 months ago
Aug 26, 2026
0 days ago
3mo 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 4.8 is available from Anthropic, Vertex AI. GLM-5.3-Flash is available from ZAI.
Claude Opus 4.8
GLM-5.3-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.8 and GLM-5.3-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.8 vs GLM-5.3-Flash.