Together AI· Inference platform

Kimi K3 vs Claude Fable 5 on DeepSWE: Cost and Coding

Key Takeaways Kimi K3 matches Claude Fable 5 on quality, costs a third as much per solved task, and as an open model gives teams full control over their deployment. Kimi K3 vs Claude Fable 5 is close on DeepSWE pass@1: Fable leads 69.9% to 68.5%, a 1.4 point gap. Give the models more attempts and Kimi K3 pulls ahead. It wins pass@2 (82.0 vs 80.2) and pass@4 (89.4% vs 88.5%). Kimi K3 is far cheaper: \$4.65 per rollout vs \$13.41, and 2.8x more solved tasks per dollar. Claude Fable 5 is the more reliable model: it solves more tasks four-for-four (58 vs 45). Available now · US-hosted Run Kimi K3 on Together AI Full 1M context, automatic prefix caching, OpenAI-compatible API, served from US infrastructure. Open the playground ‍ In our Kimi K3 vs Claude Fable 5 comparison on DeepSWE, a benchmark that tests a model's software engineering capabilities across many task types and programming languages, the most interesting model this month is not the one at the top of the leaderboard. It is Kimi K3, the new open-weight model parked 1.4 points behind Claude Fable 5, at a third of the price. …

Announced

24 Jul 2026 00:00 UTC