Claude Fable 5.2 vs GLM-5.3-Flash
Claude Fable 5.2 leads the LLM Stats Score 61.1 to 47.9. GLM-5.3-Flash is 67.4x cheaper per token.
Anthropic · Zhipu AI · Updated for 2026
Which is better?
Claude Fable 5.2 leads the overall LLM Stats Score 61.1 to 47.9, ranking #1 overall.
In the 5 individual benchmarks reported for both models, Claude Fable 5.2 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.3-Flash is roughly 67.4x 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 5.2
- overall performance matters — it scores 61.1 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- you want the most recent training data — it shipped Nov 2026
Choose GLM-5.3-Flash
- cost matters — it's about 67.4x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- 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
29 reported for Claude Fable 5.2 · 15 for GLM-5.3-Flash
Claude Fable 5.2 outperforms in 5 benchmarks (AutomationBench, Chartography, DeepSWE 1.1, Humanity's Last Exam, OfficeQA Pro), while GLM-5.3-Flash is better at 0 benchmarks.
Claude Fable 5.2 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 Fable 5.2 ($8.00/1M tokens) is 53.3x more expensive than GLM-5.3-Flash ($0.15/1M tokens).
For output processing, Claude Fable 5.2 ($40.00/1M tokens) is 80.0x more expensive than GLM-5.3-Flash ($0.50/1M tokens).
In conclusion, Claude Fable 5.2 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 5.2's 1,000,000 tokens. GLM-5.3-Flash can generate longer responses up to 1,048,576 tokens, while Claude Fable 5.2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Fable 5.2 and GLM-5.3-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Fable 5.2
GLM-5.3-Flash
License
Usage and distribution terms
Claude Fable 5.2 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 5.2 was released on 2026-11-09, while GLM-5.3-Flash was released on 2026-08-26.
Claude Fable 5.2 is 3 months newer than GLM-5.3-Flash.
Nov 9, 2026
3 days ago
2mo newerAug 26, 2026
2 months ago
Knowledge Cutoff
When training data ends
Claude Fable 5.2 has a documented knowledge cutoff of 2026-06-01, while GLM-5.3-Flash's cutoff date is not specified.
We can confirm Claude Fable 5.2's training data extends to 2026-06-01, but cannot make a direct comparison without GLM-5.3-Flash's cutoff date.
Jun 2026
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Provider Availability
Claude Fable 5.2 is available from Anthropic. GLM-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI.
Claude Fable 5.2
GLM-5.3-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.2 and GLM-5.3-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.2 vs GLM-5.3-Flash.