Analysis Summary
DeepSeek V4 Flash 0731 is a low-cost Flash endpoint with a 1.31M token context window and support for tool use and function calling. The record also lists vision capability, although its modality field describes text to text, so teams should verify the deployed interface before relying on image workflows. Its cost profile is suitable for high-volume processing.
No benchmark data is supplied for this specific release, leaving reasoning, coding, agentic execution, instruction following, and editorial consistency unverified. That limits its suitability for autonomous agents, complex software work, and unsupervised client-facing content. The long context remains useful for search, document comparison, and large input preparation.
Start with low-risk SEO analysis, extraction, summarisation, and classification. Its pricing supports broad testing, but production adoption should follow measured validation of the actual endpoint and its multimodal behaviour.
Assessed September 1, 2026
Editorial notes
DeepSeek V4 Flash 0731 offers very low pricing, a 1.31M token context, tool support, function calling, and vision metadata, but this specific release has no supplied benchmark results.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V4 Flash 0731 offers very low pricing, a 1.31M token context, tool support, function calling, and vision metadata, but this specific release has no supplied benchmark results.
How DeepSeek: DeepSeek V4 Flash 0731 compares
Its 1.3M-token context window is larger than 99% of the models we list. At $0.07 per million input tokens it is cheaper than 73% 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 | $0.07 | $0.000065 |
| Output | $0.18 | $0.000180 |
What would DeepSeek: DeepSeek V4 Flash 0731 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 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save DeepSeek: DeepSeek V4 Flash 0731 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows..
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Frequently asked questions about DeepSeek: DeepSeek V4 Flash 0731
How much does DeepSeek: DeepSeek V4 Flash 0731 cost?
DeepSeek: DeepSeek V4 Flash 0731 costs $0.07 per million input tokens and $0.18 per million output tokens.
What is the context window of DeepSeek: DeepSeek V4 Flash 0731?
DeepSeek: DeepSeek V4 Flash 0731 has a context window of 1,310,720 tokens (1.3M).
What can DeepSeek: DeepSeek V4 Flash 0731 do?
DeepSeek: DeepSeek V4 Flash 0731 supports image/vision input, tool use, and function calling.
Who created DeepSeek: DeepSeek V4 Flash 0731?
DeepSeek: DeepSeek V4 Flash 0731 is developed by DeepSeek and was released on July 31, 2026.
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: September 2, 2026 11:59 am