Fable 5.1 (Fully Tested & Real cost comparisons): It's A GREAT Model but there's still ONE ISSUE!

In this video, Iโ€™ll be reviewing the new Claude Fable 5.1 model, covering its benchmarks, API pricing, cache savings, coding performance, safety changes, and real-world limitations. Iโ€™ll also test it across eight KingBench tasks to see how it compares with Fable 5, Opus 5, GPT-5.6 Sol, GLM 5.3, and other leading AI models.

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Key Takeaways:

๐Ÿš€ Claude Fable 5.1 delivers major improvements in coding, frontend development, 3D generation, and long-horizon agentic tasks.
๐Ÿ† It scored 74 out of 80, or 92.5 percent, on KingBenchโ€”the highest score achieved by any model tested so far.
โŒš Fable 5.1 set a new record on the difficult 3D wristwatch task, improving from Fable 5โ€™s score of 4 to an impressive 9 out of 10.
๐Ÿ’ธ API pricing remains at $10 per million input tokens and $50 per million output tokens, while cache-read pricing has been reduced by 75 percent.
๐Ÿ“‰ Long agentic workloads can be 20 to 45 percent cheaper, but expensive cache writes can still dominate the final bill.
๐Ÿง  Always-on adaptive thinking and a 1-million-token context window make the model especially suitable for complex, multi-step projects.
๐Ÿ›ก๏ธ Refusals have reportedly been reduced, although security-related requests may still trigger inconsistent behavior or silent Opus fallback.
๐Ÿ”’ New append-only conversation rules, restricted thinking blocks, and other API changes appear designed to prevent model distillation.
โœ๏ธ The modelโ€™s writing is denser and less polished in some cases, while whole-file rewrites and unbatched tool calls may increase cost and latency.
๐Ÿ‘ Overall, Fable 5.1 is an outstanding choice for demanding coding, frontend, 3D, and long-running agentic workloads. Receive SMS online on sms24.me

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