DeepSeek V4 Pro 0813 vs GPT-5.6 Sol on DeepSWE: Cost, Coding, and Routing
Together AI evaluated the performance of DeepSeek V4 Pro 0813 and GPT-5.6 Sol using 904 DeepSWE rollouts. The analysis confirms that GPT-5.6 Sol leads in pass@1 accuracy while DeepSeek V4 Pro 0813 excels in pass@4 and cost-efficiency.
Verified State Diff
Impact & Verification Analysis
AI engineers, software developers, and enterprise architects optimizing for cost-to-performance ratios in coding agents.
It provides a quantitative framework for implementing cost-effective model routing, allowing developers to achieve high-accuracy coding results without relying exclusively on expensive, high-latency models.
Full Fact Overview
The benchmark utilized 904 rollouts on the DeepSWE framework to compare model efficacy. GPT-5.6 Sol demonstrated a 10-point lead in pass@1 metrics but at a 35x higher cost compared to DeepSeek V4 Pro 0813. The data suggests that a routing strategy utilizing a Pro-first cascade achieves an 83.0% success rate, optimizing the balance between high-cost model precision and low-cost model throughput.