Claude Fable 5.1 vs MAI-Thinking-1
Claude Fable 5.1 leads the LLM Stats Score 56.8 to 32.9.
Anthropic · Microsoft · Updated for 2026
Which is better?
Claude Fable 5.1 leads the overall LLM Stats Score 56.8 to 32.9, ranking #2 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Fable 5.1
- overall performance matters — it scores 56.8 and ranks #2 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose MAI-Thinking-1
- you are already invested in the Microsoft ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for Claude Fable 5.1 · 23 for MAI-Thinking-1
Claude Fable 5.1 and MAI-Thinking-1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Claude Fable 5.1 specifies input context (1,000,000 tokens). Only Claude Fable 5.1 specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Claude Fable 5.1 supports multimodal inputs, whereas MAI-Thinking-1 does not.
Claude Fable 5.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Fable 5.1
MAI-Thinking-1
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Claude Fable 5.1 was released on 2026-09-01, while MAI-Thinking-1 was released on 2026-06-02.
Claude Fable 5.1 is 3 months newer than MAI-Thinking-1.
Sep 1, 2026
4 days ago
3mo newerJun 2, 2026
3 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.1 and MAI-Thinking-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.1 vs MAI-Thinking-1.