Analysis Summary
DeepSeek V4 Flash is a DeepSeek model released in April 2026, with a 1,048,576-token context window and support for tool use and function calling. Its coding index is 69.1 and agentic index is 41.0. The data also shows strong instruction following and long-context performance, so it can handle substantial inputs while supporting structured, multi-step tasks.
This profile fits code assistance, repository analysis, document-heavy work, and agent workflows where the model needs to call tools. It is text-only in the supplied modality data, so vision use is not established. Listed pricing is $0.0825 per million input tokens and $0.1649 per million output tokens, substantially below the Pro version in this batch. For teams that need technical capability at volume, Flash is the more practical first deployment; reserve Pro for cases where its additional cost is justified by testing.
Assessed September 23, 2026
Editorial notes
DeepSeek V4 Flash combines strong coding and tool-use results, a 1M-token context, function calling, and low listed token prices, making it well suited to high-volume technical 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 Flash combines strong coding and tool-use results, a 1M-token context, function calling, and low listed token prices, making it well suited to high-volume technical workflows.
Benchmarks
Artificial Analysis data refreshed Oct 5, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
How DeepSeek: DeepSeek V4 Flash compares
DeepSeek: DeepSeek V4 Flash ranks #35 of 433 AI models we track for overall intelligence, #27 of 198 for coding, #25 of 181 for agentic tasks. Its 1M-token context window is larger than 95% of the models we list. At $0.03 per million input tokens it is cheaper than 75% 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 | $0.03 | $0.000030 |
| Output | $1.28 | $0.001280 |
What would DeepSeek: DeepSeek V4 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 Flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V4 Flash
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and..
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Frequently asked questions about DeepSeek: DeepSeek V4 Flash
How much does DeepSeek: DeepSeek V4 Flash cost?
DeepSeek: DeepSeek V4 Flash costs $0.03 per million input tokens and $1.28 per million output tokens.
What is the context window of DeepSeek: DeepSeek V4 Flash?
DeepSeek: DeepSeek V4 Flash has a context window of 1,048,576 tokens (1M).
Is DeepSeek: DeepSeek V4 Flash good for coding?
On our coding benchmark index, DeepSeek: DeepSeek V4 Flash ranks #27 of 198 models, placing it in the top quartile of the field for code generation and debugging.
What can DeepSeek: DeepSeek V4 Flash do?
DeepSeek: DeepSeek V4 Flash supports tool use and function calling.
Who created DeepSeek: DeepSeek V4 Flash?
DeepSeek: DeepSeek V4 Flash is developed by DeepSeek and was released on April 24, 2026.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 5, 2026 8:38 pm