Analysis Summary
DeepSeek V4 Pro 0813 is positioned as a premium DeepSeek model with a 1M token context window and support for tool use and function calling. Those capabilities make it structurally suitable for long-document analysis, workflow automation, and applications that need to connect model output to external actions. The supplied record identifies text input and text output only.
The main adoption issue is evidence. No intelligence, coding, agentic, instruction-following, or other benchmark results are provided for this specific model, so its production reliability cannot be established from the available data. That makes it difficult to recommend for client-facing reasoning, software engineering, or autonomous agents without internal testing.
Pricing is attractive, particularly for output, and could justify a controlled pilot for high-volume text workflows. Treat it as an evaluation candidate rather than a default production model until task-level results are available.
Assessed September 1, 2026
Editorial notes
DeepSeek V4 Pro 0813 offers a 1M token context, tool use, function calling, and low output pricing, but the supplied record contains no benchmark data to validate reasoning, coding, or content reliability.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V4 Pro 0813 offers a 1M token context, tool use, function calling, and low output pricing, but the supplied record contains no benchmark data to validate reasoning, coding, or content reliability.
How DeepSeek: DeepSeek V4 Pro 0813 compares
Its 1M-token context window is larger than 94% of the models we list. At $0.66 per million input tokens it is cheaper than 33% 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 value. 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 0813 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 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save DeepSeek: DeepSeek V4 Pro 0813 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
Explore Related Models
Frequently asked questions about DeepSeek: DeepSeek V4 Pro 0813
How much does DeepSeek: DeepSeek V4 Pro 0813 cost?
DeepSeek: DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens.
What is the context window of DeepSeek: DeepSeek V4 Pro 0813?
DeepSeek: DeepSeek V4 Pro 0813 has a context window of 1,048,576 tokens (1M).
What can DeepSeek: DeepSeek V4 Pro 0813 do?
DeepSeek: DeepSeek V4 Pro 0813 supports tool use and function calling.
Who created DeepSeek: DeepSeek V4 Pro 0813?
DeepSeek: DeepSeek V4 Pro 0813 is developed by DeepSeek and was released on August 12, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 3, 2026 8:38 pm