---
title: "DeepSeek"
description: "2 posts about DeepSeek, summarised, each linking to the original."
---

# DeepSeek
> 2 posts about DeepSeek, summarised, each linking to the original.

## Articles

### [DeepSeek V4 Pro 0813 vs GPT-5.6 Sol on DeepSWE: Cost, Coding, and Routing](https://yomu.fyi/post/deepseek-v4-pro-0813-vs-gpt-5-6-sol-on-deepswe-cost-coding-and-routing.md)
- Company: [Together AI](https://yomu.fyi/company/together-ai.md)
- Published: Aug 18, 2026
- Type: Benchmark

DeepSeek V4 Pro 0813 costs $0.24 per rollout and achieves 62.8% pass@1 on DeepSWE, while GPT-5.6 Sol reaches 72.7% pass@1 at $8.37 per rollout—a 35x price gap. At four attempts, DeepSeek V4 Pro 0813 surpasses Sol, with 88.5% pass@4 versus 85.8%. Sol is faster and more reliable, completing a rollout in 17 minutes and 53 steps, and breaking tests in only 11% of its failures. A cascade strategy—running DeepSeek V4 Pro 0813 first and escalating to Sol on test failure—solves 83.0% of tasks at $3.35 each, outperforming either model alone. Per $100, DeepSeek V4 Pro 0813 solves 260 tasks versus Sol’s 9, making it the value leader for budget-constrained workloads.


### [DeepSeek V4 Pro 0813 vs Claude Fable 5 on DeepSWE: Cost, Coding, and Routing](https://yomu.fyi/post/deepseek-v4-pro-0813-vs-claude-fable-5-on-deepswe-cost-coding-and-rout.md)
- Company: [Together AI](https://yomu.fyi/company/together-ai.md)
- Published: Aug 17, 2026
- Type: Benchmark

The DeepSWE benchmark comparison between DeepSeek V4 Pro 0813 and Claude Fable 5 reveals a trade-off between cost and accuracy. Claude Fable 5 leads on the first attempt with 69.7% pass@1 versus DeepSeek V4 Pro’s 62.8%, but costs 90 times more per rollout ($21.63 vs $0.24). Under repeated attempts, DeepSeek V4 Pro surpasses Fable, achieving 88.5% pass@4 compared to Fable’s 84.1%. The two models show unusually low per-task correlation (0.39), meaning they fail on different tasks. A cascade strategy that runs DeepSeek V4 Pro first and escalates to Claude Fable 5 only on failures solves 82.7% of tasks at $8.28 per task, outperforming either model used alone.