DeepSeek V4 Pro 0813 vs Claude Fable 5 on DeepSWE: Cost, Coding, and Routing

Benchmark results on 113 DeepSWE software-engineering tasks show that Claude Fable 5 has stronger first-attempt accuracy than DeepSeek V4 Pro 0813, scoring 69.7% versus 62.8% pass@1, but costs about 90 times more per rollout at $21.63 compared with $0.24. With repeated attempts, Pro matches Fable at pass@2 and leads at pass@4, while delivering vastly more solved tasks per dollar and producing failures that are more often near-correct rather than major misses. Fable performs particularly well on Rust, serialization, data modeling, and other exact-contract tasks, whereas Pro leads in TypeScript, stateful reactivity, and concurrency and durability. Because the models succeed on substantially different tasks, with a low per-task correlation of 0.39 and combined coverage of 107 of 113 tasks, the analysis recommends running Pro first and escalating failed, test-verified results to Fable. This cascade reportedly reaches 82.7% accuracy at $8.28 per solved task, exceeding Fable alone’s accuracy while costing less than half as much per task.

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