Analysis Summary
DeepSeek V4 Pro 0813 is positioned for long-context text workflows, with tool use, function calling, and a 1.05M token context window. Those capabilities could support document processing, structured automation, and multi-step API workflows without requiring separate orchestration models.
The model has no model-specific benchmark results in the supplied data, so its reasoning, coding, instruction-following, and editorial consistency cannot be verified against the measured field. Listed pricing of $1.32 per million input tokens and $3.96 per million output tokens is practical for selective production testing, but the absence of evidence makes it unsuitable as a default client model this week. Consider it for controlled pilots where long context and tool integration are priorities.
Assessed September 1, 2026
Editorial notes
DeepSeek V4 Pro 0813 offers tool use, function calling, and a 1.05M token context window at moderate listed pricing, but it has no model-specific benchmark data here to validate reasoning or coding reliability.
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DFO Verdict
DeepSeek V4 Pro 0813 offers tool use, function calling, and a 1.05M token context window at moderate listed pricing, but it has no model-specific benchmark data here to validate reasoning or coding reliability.
How DeepSeek: DeepSeek V4 Pro 0813 (batch) compares
Its 1M-token context window is larger than 94% of the models we list. At $1.32 per million input tokens it is cheaper than 20% 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 | $1.32 | $0.001320 |
| Output | $3.96 | $0.003960 |
What would DeepSeek: DeepSeek V4 Pro 0813 (batch) cost your business?
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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 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V4 Pro 0813 (batch)
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
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Frequently asked questions about DeepSeek: DeepSeek V4 Pro 0813 (batch)
How much does DeepSeek: DeepSeek V4 Pro 0813 (batch) cost?
DeepSeek: DeepSeek V4 Pro 0813 (batch) costs $1.32 per million input tokens and $3.96 per million output tokens.
What is the context window of DeepSeek: DeepSeek V4 Pro 0813 (batch)?
DeepSeek: DeepSeek V4 Pro 0813 (batch) has a context window of 1,048,576 tokens (1M).
What can DeepSeek: DeepSeek V4 Pro 0813 (batch) do?
DeepSeek: DeepSeek V4 Pro 0813 (batch) supports tool use and function calling.
Who created DeepSeek: DeepSeek V4 Pro 0813 (batch)?
DeepSeek: DeepSeek V4 Pro 0813 (batch) 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