DeepSeek: DeepSeek V3.1
Analysis Summary
DeepSeek V3.1 is a text model with a 164K context window, tool use, and function calling. Its measured intelligence signal is limited compared with flagship systems, but the combination of long context, API actions, and low token pricing makes it relevant to practical automation.
It suits document processing, retrieval-assisted assistants, structured extraction, and bounded agent workflows where applications can check outputs and restrict actions. The supplied record does not include coding or detailed reasoning benchmarks, so it should not be assumed to handle complex software engineering or high-stakes analysis reliably. Its cost posture supports broad experimentation and volume traffic, making it a useful secondary model for validated workflows.
Assessed August 9, 2026
Editorial notes
DeepSeek V3.1 combines a 164K context window, tool use, and function calling with low pricing and a measured intelligence signal suitable for practical automation, though advanced reasoning remains below flagship level.
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DFO Verdict
DeepSeek V3.1 combines a 164K context window, tool use, and function calling with low pricing and a measured intelligence signal suitable for practical automation, though advanced reasoning remains below flagship level.
How DeepSeek: DeepSeek V3.1 compares
DeepSeek: DeepSeek V3.1 ranks #171 of 432 AI models we track for overall intelligence. Its 164K-token context window is larger than 51% of the models we list. At $0.25 per million input tokens it is cheaper than 52% 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 | $0.25 | $0.000250 |
| Output | $0.95 | $0.000950 |
What would DeepSeek: DeepSeek V3.1 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 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save DeepSeek: DeepSeek V3.1 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context..
Frequently asked questions about DeepSeek: DeepSeek V3.1
How much does DeepSeek: DeepSeek V3.1 cost?
DeepSeek: DeepSeek V3.1 costs $0.25 per million input tokens and $0.95 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3.1?
DeepSeek: DeepSeek V3.1 has a context window of 163,840 tokens (164K).
What can DeepSeek: DeepSeek V3.1 do?
DeepSeek: DeepSeek V3.1 supports tool use and function calling.
Who created DeepSeek: DeepSeek V3.1?
DeepSeek: DeepSeek V3.1 is developed by DeepSeek and was released on August 21, 2025.