---
title: "DeepSeek V4 Pro 0813 vs GPT-5.6 Sol on DeepSWE: Cost, Coding, and Routing"
description: "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 GPT-5.6 Sol on DeepSWE: Cost, Coding, and Routing

[Together AI](https://yomu.fyi/company/together-ai) · Aug 18, 2026

**Type:** Benchmark

## Summary

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.

## Context

The authors ran 904 DeepSWE rollouts (452 per model, four trials across 113 tasks) to compare DeepSeek V4 Pro 0813 and GPT-5.6 Sol on software engineering ability, cost, and routing strategies.

## Approach / What changed

The recommended cascade: run DeepSeek V4 Pro 0813 first; if the test suite rejects its answer, escalate to GPT-5.6 Sol for a second independent attempt.

## Takeaways

- DeepSeek V4 Pro 0813 costs $0.24 per rollout and achieves 62.8% pass@1, while GPT-5.6 Sol achieves 72.7% pass@1 at $8.37 per rollout—a 35x price difference.
- At four attempts, DeepSeek V4 Pro 0813 surpasses Sol (88.5% pass@4 vs 85.8%), making best-of-k routing where Pro leads cheaper and more accurate than using Sol alone.
- A cascade that runs Pro first and escalates to Sol on test failure solves 83.0% of tasks at $3.35 each, beating Sol alone (72.7% at $8.37) and even a perfect single-shot oracle (80.8%).

## FAQ

### How much cheaper is the cascade compared to using Sol alone?

The cascade costs $3.35 per task, less than half of Sol's $8.37 per task, while solving 10.3 percentage points more tasks (83.0% vs 72.7%).

### Does DeepSeek V4 Pro 0813 add coverage beyond what GPT-5.6 Sol already covers?

DeepSeek V4 Pro 0813 alone solves no task that Sol misses entirely, while Sol solves two tasks that Pro never solves. Pro adds minimal new reach; its value is clearing shared tasks at low cost.

### Which model has fewer regressions when it fails?

DeepSeek V4 Pro 0813 is more conservative: only 11% of its failures break existing tests, versus 20% for GPT-5.6 Sol. Pro is safer to accept unreviewed.

**Tags:** [AI](https://yomu.fyi/topic/ai), [Benchmark](https://yomu.fyi/topic/benchmark), [Cost Optimization](https://yomu.fyi/topic/cost-optimization), [DeepSeek](https://yomu.fyi/topic/deepseek), [LLMs](https://yomu.fyi/topic/llm)

- Source: [Together AI](https://www.together.ai/blog/deepseek-v4-pro-0813-vs-gpt-5-6-sol-on-deepswe-cost-coding-and-routing)
- Source URL: https://www.together.ai/blog/deepseek-v4-pro-0813-vs-gpt-5-6-sol-on-deepswe-cost-coding-and-routing
- Ingested by Yomu: 2026-09-19T10:13:46.087Z

[Read original post](https://www.together.ai/blog/deepseek-v4-pro-0813-vs-gpt-5-6-sol-on-deepswe-cost-coding-and-routing)
