Claude Fable 5 vs GLM-5.3-Flash
Claude Fable 5 and GLM-5.3-Flash are closely matched at 55.9 and 51.6 on the LLM Stats Score. GLM-5.3-Flash is 84.2x cheaper per token.
Anthropic · Zhipu AI · Updated for 2026
Which is better?
Claude Fable 5 and GLM-5.3-Flash are closely matched on the overall LLM Stats Score at 55.9 and 51.6.
The models split the 4 individual benchmarks reported for both models evenly.
On price, GLM-5.3-Flash is roughly 84.2x 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 Fable 5
- your work emphasizes coding — it leads those capability indexes
Choose GLM-5.3-Flash
- cost matters — it's about 84.2x 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
18 reported for Claude Fable 5 · 15 for GLM-5.3-Flash
Claude Fable 5 outperforms in 2 benchmarks (DeepSWE 1.1, Humanity's Last Exam), while GLM-5.3-Flash is better at 1 benchmark (AutomationBench).
Claude Fable 5 has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Fable 5 ($10.00/1M tokens) is 66.7x more expensive than GLM-5.3-Flash ($0.15/1M tokens).
For output processing, Claude Fable 5 ($50.00/1M tokens) is 100.0x more expensive than GLM-5.3-Flash ($0.50/1M tokens).
In conclusion, Claude Fable 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 Fable 5's 1,000,000 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while Claude Fable 5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Fable 5 and GLM-5.3-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Fable 5
GLM-5.3-Flash
License
Usage and distribution terms
Claude Fable 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 Fable 5 was released on 2026-06-09, while GLM-5.3-Flash was released on 2026-08-26.
GLM-5.3-Flash is 3 months newer than Claude Fable 5.
Jun 9, 2026
2 months ago
Aug 26, 2026
2 days ago
2mo 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 Fable 5 is available from Anthropic. GLM-5.3-Flash is available from DeepInfra, Novita, ZAI.
Claude Fable 5
GLM-5.3-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5 and GLM-5.3-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5 vs GLM-5.3-Flash.