DeepSeek V4 Pro vs Claude Sonnet 5
Side-by-side comparison of pricing, context window, modalities, licensing, and strengths — with practical guidance on which model fits which workload.
| Spec | DeepSeek V4 Pro | Claude Sonnet 5 |
|---|---|---|
| Provider | DeepSeek | Anthropic |
| Context window | 1M tokens | 1M tokens |
| Input price (per 1M tokens) | $0.44 | $3.00 |
| Output price (per 1M tokens) | $0.87 | $15.00 |
| Example workload (10M in + 2M out) | $6.14 / month | $60.00 / month |
| Modalities | text, code | text, image, code |
| Knowledge cutoff | Not disclosed | Not disclosed |
| Release date | Apr 2026 | 2026 |
| License | MIT | Proprietary |
| Strengths | 1.6T MoE (49B active), Code & math, Ultra-low cost, Open weights | Coding, Agentic work, 1M context, Intro pricing ($2/$10 to Aug 2026) |
| Open weights | Yes | No |
Verdict
The value battle of 2026: the cheapest frontier-class open model against the best-value proprietary coder. DeepSeek V4 Pro undercuts Claude Sonnet 5 by an order of magnitude on price ($0.44/$0.87 vs $3/$15) and matches its 1M context, with MIT weights as a bonus. Sonnet 5 justifies the premium with near-Opus coding and agentic performance, vision input, stronger instruction-following polish, and Anthropic’s managed infrastructure — no GPUs, rate-limit engineering, or serving stack required.
When to choose DeepSeek V4 Pro
Pick DeepSeek V4 Pro when unit economics dominate — high-volume generation, batch processing, or self-hosted deployments.
When to choose Claude Sonnet 5
Pick Claude Sonnet 5 for production coding agents, vision tasks, and quality-sensitive work on managed infrastructure.
Prices and specs reflect published provider information and change frequently — always confirm on the provider's pricing page before committing to a workload.
Frequently asked questions
Which is cheaper: DeepSeek V4 Pro or Claude Sonnet 5?
DeepSeek V4 Pro is cheaper per token: $0.44 input / $0.87 output per 1M tokens, versus $3.00 / $15.00 for Claude Sonnet 5. Actual costs depend on your input-to-output ratio — try the AI cost calculator for your own numbers.
Which has the larger context window?
Both models offer the same 1M-token context window.
Can I self-host either model?
DeepSeek V4 Pro has downloadable weights (MIT), so you can run it on your own hardware. Claude Sonnet 5 is proprietary and only available through its API.
How should I test which model is better for my use case?
Benchmarks are a starting point, not an answer. Run both models on 20–50 examples of your real task and compare outputs blind. Use our token counter to estimate prompt sizes and the cost calculator to project monthly spend before committing.