Model Comparison
Claude Fable 5 vs GLM-5.2Which is better in 2026?
Claude Fable 5 significantly outperforms across most benchmarks. GLM-5.2 is 13.7x cheaper per token.
Verdict: Claude Fable 5 vs GLM-5.2 — which is better?
Claude Fable 5 (by Anthropic) and GLM-5.2 (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Claude Fable 5 outperforms in 4 benchmarks (FrontierSWE, Humanity's Last Exam, SWE-Bench Pro, Terminal-Bench 2.1), while GLM-5.2 is better at 0 benchmarks. Claude Fable 5 significantly outperforms across most benchmarks.
On price, GLM-5.2 is roughly 13.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.2 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Fable 5 if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
Choose GLM-5.2 if…
- cost matters — it's about 13.7x 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 Jun 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Fable 5 outperforms in 4 benchmarks (FrontierSWE, Humanity's Last Exam, SWE-Bench Pro, Terminal-Bench 2.1), while GLM-5.2 is better at 0 benchmarks.
Claude Fable 5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Fable 5 ($10.00/1M tokens) is 10.5x more expensive than GLM-5.2 ($0.95/1M tokens).
For output processing, Claude Fable 5 ($50.00/1M tokens) is 16.7x more expensive than GLM-5.2 ($3.00/1M tokens).
In conclusion, Claude Fable 5 is more expensive than GLM-5.2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.2 accepts 1,048,576 input tokens compared to Claude Fable 5's 1,000,000 tokens. GLM-5.2 can generate longer responses up to 131,072 tokens, while Claude Fable 5 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Fable 5 supports multimodal inputs, whereas GLM-5.2 does not.
Claude Fable 5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Fable 5
GLM-5.2
License
Usage and distribution terms
Claude Fable 5 is licensed under a proprietary license, while GLM-5.2 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-5.2 was released on 2026-06-16.
GLM-5.2 is 0 month newer than Claude Fable 5.
Jun 9, 2026
1 months ago
Jun 16, 2026
1 months ago
1w 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-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI.
Claude Fable 5
GLM-5.2
Outputs Comparison
Key Takeaways
Claude Fable 5
View detailsAnthropic
GLM-5.2
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Claude Fable 5 and GLM-5.2 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Claude Fable 5 vs GLM-5.2.