DeepSeek: DeepSeek V4 Pro
Analysis Summary
DeepSeek V4 Pro is a high-capability model built for reasoning, software engineering, and agentic work. It combines a 1M token context window with strong coding results, reliable instruction following, high long-context performance, and especially strong tool-oriented evaluation. Function calling and tool use are explicitly supported.
That profile suits codebase analysis, autonomous development assistants, long-document review, structured research, SEO production, and customer-facing content where consistency matters. The model is text-only, so teams handling image-heavy inputs will need a separate vision model or preprocessing step. Its agentic performance is strong but not at the absolute frontier.
Pricing is a major advantage, with low input and output rates relative to its capability. Adopt it as a primary model for complex workflows, while routing simple high-volume tasks to a smaller model.
Assessed August 9, 2026
Editorial notes
DeepSeek V4 Pro combines very strong reasoning, coding, long-context analysis, and reliable tool use with a 1M token context and low pricing, making it a strong choice for demanding production workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V4 Pro combines very strong reasoning, coding, long-context analysis, and reliable tool use with a 1M token context and low pricing, making it a strong choice for demanding production workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
53.2 Intelligence Index·68.8 Coding Index·49.6 Agentic Index
How DeepSeek: DeepSeek V4 Pro compares
DeepSeek: DeepSeek V4 Pro ranks #22 of 425 AI models we track for overall intelligence, #30 of 198 for coding, #19 of 180 for agentic tasks. Its 1M-token context window is larger than 95% of the models we list. At $0.66 per million input tokens it is cheaper than 32% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.66 | $0.000660 |
| Output | $1.98 | $0.001980 |
What would DeepSeek: DeepSeek V4 Pro cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 704 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save DeepSeek: DeepSeek V4 Pro for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,..
Frequently asked questions about DeepSeek: DeepSeek V4 Pro
How much does DeepSeek: DeepSeek V4 Pro cost?
DeepSeek: DeepSeek V4 Pro costs $0.66 per million input tokens and $1.98 per million output tokens.
What is the context window of DeepSeek: DeepSeek V4 Pro?
DeepSeek: DeepSeek V4 Pro has a context window of 1,048,576 tokens (1M).
Is DeepSeek: DeepSeek V4 Pro good for coding?
On our coding benchmark index, DeepSeek: DeepSeek V4 Pro ranks #30 of 198 models, placing it in the top quartile of the field for code generation and debugging.
What can DeepSeek: DeepSeek V4 Pro do?
DeepSeek: DeepSeek V4 Pro supports tool use and function calling.
Who created DeepSeek: DeepSeek V4 Pro?
DeepSeek: DeepSeek V4 Pro is developed by DeepSeek and was released on April 24, 2026.