Claude Fable 5 outpaces GPT-5.5 by 13 points on FrontierMath's toughest problems
Summary
Anthropic's new model, Claude Fable 5, has achieved top scores on the challenging FrontierMath benchmark, significantly outperforming OpenAI's GPT-5.5. Fable 5 recorded 87 percent accuracy across tiers 1 through 3 and an impressive 88 percent on the hardest tier 4 (v2). This marks a substantial improvement for Anthropic, as its predecessor, Opus 4.5, scored below 10 percent on tier 4 as recently as early 2026. In comparison, GPT-5.5 reached approximately 75 percent on the same tier, placing Fable 5 13 points ahead. All models were tested using Epoch AI's standard scaffold with maximum reasoning effort, confirming FrontierMath's status as a premier benchmark for AI math reasoning. These benchmark gains align with recent real-world examples of AI models solving complex mathematical problems.
Key takeaway
For AI Scientists and Machine Learning Engineers evaluating advanced reasoning models, you should consider Claude Fable 5's superior performance on the FrontierMath benchmark. Its 13-point lead over GPT-5.5 on tier 4 suggests a significant capability advantage for complex mathematical tasks. You should investigate Fable 5 for applications requiring high-accuracy math reasoning, potentially shifting your model selection strategy for research or development projects involving intricate problem-solving.
Key insights
Claude Fable 5 demonstrates a significant leap in AI mathematical reasoning, surpassing GPT-5.5 on a leading benchmark.
Principles
- AI math capabilities are rapidly advancing.
- Benchmarks like FrontierMath validate progress.
- Real-world math problem-solving by AI is increasing.
Method
The models were tested on Epoch AI's standard scaffold, employing maximum reasoning effort to assess performance on FrontierMath's tiers.
In practice
- Evaluate Fable 5 for complex math tasks.
- Monitor AI math reasoning benchmarks.
- Explore AI for open mathematical problems.
Topics
- Claude Fable 5
- FrontierMath Benchmark
- AI Math Reasoning
- GPT-5.5
- Large Language Models
- Anthropic
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Editorial summary, takeaway, and curation by AIssential. Original article published by The Decoder.