DeepSeek: DeepSeek V4 Pro
Analysis Summary
DeepSeek V4 Pro delivers exceptional coding and agentic benchmark results alongside strong general reasoning, backed by a 1,048,576 token context window and full tool use and function calling support. Instruction following and long-context reliability scores are also high.
This profile suits software engineering teams, autonomous coding agents, and businesses running long-document analysis where holding large codebases or contracts in context matters. It is well suited to agent pipelines that require reliable multi-step tool calls.
Pricing is low for this level of capability, at under a dollar per million input tokens. Businesses seeking near-frontier coding and agentic performance without premium pricing should shortlist this model.
Assessed July 25, 2026
Editorial notes
DeepSeek V4 Pro combines world-class coding and agentic reliability with a 1M token context and strong tool use, at a fraction of flagship pricing.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V4 Pro combines world-class coding and agentic reliability with a 1M token context and strong tool use, at a fraction of flagship pricing.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
44.3 Intelligence Index·59.4 Coding Index·71.2 Agentic Index
How DeepSeek: DeepSeek V4 Pro compares
DeepSeek: DeepSeek V4 Pro ranks #19 of 395 AI models we track for overall intelligence, #22 of 160 for coding, #9 of 302 for agentic tasks. Its 1M-token context window is larger than 96% of the models we list. At $0.44 per million input tokens it is cheaper than 39% 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 content. The pulled-in intelligence 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 | $0.44 | $0.000435 |
| Output | $0.87 | $0.000870 |
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 650 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,..
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Frequently asked questions about DeepSeek: DeepSeek V4 Pro
How much does DeepSeek: DeepSeek V4 Pro cost?
DeepSeek: DeepSeek V4 Pro costs $0.44 per million input tokens and $0.87 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 #22 of 160 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.
