Claude Fable 5
According to BenchLM.ai, Claude Fable 5 ranks #2 out of 123 models on the provisional leaderboard with an overall score of 96/100. It also ranks #2 out of 32 on the verified leaderboard. This places it among the top tier of AI models available in 2026, competing directly with the strongest models from leading AI labs.
Claude Fable 5 is a proprietary model with a 1M+ token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
Claude Fable 5 is Anthropic's generally available Mythos-class model. It uses the same underlying model as Claude Mythos 5, with production safeguards for cybersecurity, biology, chemistry, distillation, and frontier-AI-development requests. Some Claude clients route flagged requests to Claude Opus 4.8; the Messages API blocks by default unless fallback is configured.
This profile currently has 19 of 237 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Agentic (#2), while its weakest is Multimodal & Grounded (#18). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.
Ranking Distribution
Category rank across 6 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#2Coding
#2Reasoning
Knowledge
Math
Multilingual
#2Multimodal
#18Inst. Following
#17Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
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Frequently Asked Questions
How does Claude Fable 5 perform overall in AI benchmarks?
Claude Fable 5 currently ranks #2 out of 123 models on BenchLM's provisional leaderboard with an overall score of 96. It also ranks #2 out of 32 on the verified leaderboard. It is created by Anthropic and features a 1M+ context window.
Is Claude Fable 5 good for knowledge and understanding?
Claude Fable 5 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Claude Fable 5 good for coding and programming?
Claude Fable 5 ranks #2 out of 123 models in coding and programming benchmarks with an average score of 100. It is among the top performers in this category.
Is Claude Fable 5 good for mathematics?
Claude Fable 5 has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is Claude Fable 5 good for agentic tool use and computer tasks?
Claude Fable 5 ranks #2 out of 123 models in agentic tool use and computer tasks benchmarks with an average score of 100. It is among the top performers in this category.
Is Claude Fable 5 good for multimodal and grounded tasks?
Claude Fable 5 ranks #18 out of 123 models in multimodal and grounded tasks benchmarks with an average score of 79. There are stronger options in this category.
Is Claude Fable 5 good for multilingual tasks?
Claude Fable 5 ranks #2 out of 123 models in multilingual tasks benchmarks with an average score of 100. It is among the top performers in this category.
Does Claude Fable 5 have full benchmark coverage on BenchLM?
Not yet. Claude Fable 5 currently has 19 published benchmark scores out of the 237 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Claude Fable 5?
Claude Fable 5 has a context window of 1M+, which determines how much text it can process in a single interaction.
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