DeepSeek: DeepSeek V4.1 Flash 1017
Analysis Summary
DeepSeek: DeepSeek V4.1 Flash 1017 is DeepSeek’s model in the DeepSeek family. It launched in October 2026, making it a current-generation release. On our leaderboard it earns Professional-tier status, ranking #16 of 717 models in our overall business-suitability ranking. For raw reasoning ability it ranks #16 of 442, putting it in among the very best models we track for overall intelligence.
Its 1M-token context window is larger than 95% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, DeepSeek: DeepSeek V4.1 Flash 1017 combines tool use, function calling, vision input, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.
At $0.150 input and $0.600 output per 1M tokens, DeepSeek: DeepSeek V4.1 Flash 1017 is aggressively priced for high-volume use which makes it easy to justify for cost-sensitive, high-throughput deployments. DeepSeek: DeepSeek V4.1 Flash 1017 is a dependable pick for businesses that need strong, well-rounded performance without paying frontier prices.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
DeepSeek: DeepSeek V4.1 Flash 1017 currently sits at #16 of 717 models on our board. We class it as a professional-tier model.
Benchmarks
Artificial Analysis data refreshed Oct 22, 2026. Arena ratings from the Oct 20, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for DeepSeek: DeepSeek V4.1 Flash 1017 yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
This model was released recently. Benchmark figures are preliminary and are likely to be updated as independent testing is finalised.
How DeepSeek: DeepSeek V4.1 Flash 1017 compares
DeepSeek: DeepSeek V4.1 Flash 1017 ranks #16 of 442 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% of the models we list. At $0.15 per million input tokens it is cheaper than 57% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.60 | $0.000600 |
What would DeepSeek: DeepSeek V4.1 Flash 1017 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 717 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save DeepSeek: DeepSeek V4.1 Flash 1017 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the deepseek-flash API model name. V4.1 Flash is a sparse mixture-of-experts model..
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Frequently asked questions about DeepSeek: DeepSeek V4.1 Flash 1017
How much does DeepSeek: DeepSeek V4.1 Flash 1017 cost?
DeepSeek: DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 per million output tokens.
What is the context window of DeepSeek: DeepSeek V4.1 Flash 1017?
DeepSeek: DeepSeek V4.1 Flash 1017 has a context window of 1,048,576 tokens (1M).
What can DeepSeek: DeepSeek V4.1 Flash 1017 do?
DeepSeek: DeepSeek V4.1 Flash 1017 supports image/vision input, tool use, and function calling.
Who created DeepSeek: DeepSeek V4.1 Flash 1017?
DeepSeek: DeepSeek V4.1 Flash 1017 is developed by DeepSeek and was released on October 17, 2026.