Analysis Summary
DeepSeek V3.1 supports tool use and function calling with a 163K context window, backed by moderate agentic task performance. Its general reasoning index sits well below current frontier models.
This makes it a workable choice for cost-sensitive automation, chatbots and moderate-complexity agent tasks, though it is not the right pick for the most demanding reasoning or coding work.
Pricing around $0.25/$0.95 per million tokens is competitive, making it a reasonable fallback model for high-volume tasks where budget outweighs peak accuracy.
Assessed July 19, 2026
Editorial notes
DeepSeek V3.1 offers reasonable agentic performance and tool use with a large context window at a low price, though reasoning scores trail top-tier models.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V3.1 offers reasonable agentic performance and tool use with a large context window at a low price, though reasoning scores trail top-tier models.
How DeepSeek: DeepSeek V3.1 compares
DeepSeek: DeepSeek V3.1 ranks #143 of 393 AI models we track for overall intelligence, #129 of 300 for agentic tasks. Its 164K-token context window is larger than 59% of the models we list. At $0.25 per million input tokens it is cheaper than 50% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in content corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| 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?
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 612 models ā 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..
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<a href="https://designforonline.com/ai-models/deepseek-deepseek-v3-1/"><img src="https://designforonline.com/?aiml_badge=deepseek-deepseek-v3-1&theme=dark" alt="DeepSeek: DeepSeek V3.1, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/deepseek-deepseek-v3-1/"><img src="https://designforonline.com/?aiml_badge=deepseek-deepseek-v3-1&theme=light" alt="DeepSeek: DeepSeek V3.1, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
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.
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: July 19, 2026 8:38 pm