DeepSeek: DeepSeek V4.1 Flash
Analysis Summary
DeepSeek V4.1 Flash has an intelligence index of 39.5 and is listed with text and image input, tool use, function calling, and a 1,048,576-token context window. At $0.10 per million input tokens and $0.50 per million output tokens, it combines substantial context capacity with low listed pricing. Coding and agentic benchmark details are not provided here, so its performance in those areas should be tested separately.
The model is a strong candidate for document analysis, multimodal intake, and cost-sensitive workflows that need tool calls. Its context and pricing make it practical to evaluate on long client materials, while the missing coding and agentic evidence argues against assuming it can safely run complex autonomous tasks. Adopt it for bounded work after validating accuracy, tool behavior, and content consistency on your own workload.
Assessed September 23, 2026
Editorial notes
DeepSeek V4.1 Flash pairs strong reasoning, image input, tool calling, and a 1M-token context with low pricing, making it a cost-effective option for document-heavy workflows.
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 V4.1 Flash pairs strong reasoning, image input, tool calling, and a 1M-token context with low pricing, making it a cost-effective option for document-heavy workflows.
Benchmarks
Artificial Analysis data refreshed Sep 24, 2026. Arena ratings from the Sep 13, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for DeepSeek: DeepSeek V4.1 Flash yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How DeepSeek: DeepSeek V4.1 Flash compares
DeepSeek: DeepSeek V4.1 Flash ranks #23 of 428 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% of the models we list. At $0.14 per million input tokens it is cheaper than 58% 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 | $0.14 | $0.000140 |
| Output | $0.42 | $0.000420 |
What would DeepSeek: DeepSeek V4.1 Flash cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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We route routine calls to cheap models and save DeepSeek: DeepSeek V4.1 Flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on..
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Frequently asked questions about DeepSeek: DeepSeek V4.1 Flash
How much does DeepSeek: DeepSeek V4.1 Flash cost?
DeepSeek: DeepSeek V4.1 Flash costs $0.14 per million input tokens and $0.42 per million output tokens.
What is the context window of DeepSeek: DeepSeek V4.1 Flash?
DeepSeek: DeepSeek V4.1 Flash has a context window of 1,048,576 tokens (1M).
What can DeepSeek: DeepSeek V4.1 Flash do?
DeepSeek: DeepSeek V4.1 Flash supports image/vision input, tool use, and function calling.
Who created DeepSeek: DeepSeek V4.1 Flash?
DeepSeek: DeepSeek V4.1 Flash is developed by DeepSeek and was released on September 10, 2026.