DeepSeek V4 Flash Vision Exp: pricing, context and performance

What you need to know

DeepSeek V4 Flash Vision Exp is a language model from DeepSeek, released on August 21, 2026. That makes it 2 months old as of October 22, 2026. Its weights are published: you can download it and run it on your own servers, or use one of the 16 API providers that list it on models.dev. It has a reasoning mode: it can "think" before answering, which helps with multi-step problems but uses more tokens, and therefore more money.

We file it under open-weight models (68 models in this category on the site).

Pricing and budget

DeepSeek V4 Flash Vision Exp costs $0.22 per million input tokens and $0.65 per million output tokens (median of 16 providers, checked on October 22, 2026).

To put it in perspective: reading 20,000 tokens (about thirty pages) and writing 2,000 costs roughly $0.006; a thousand of those tasks, $5.61.

That is 1.5 times cheaper than the median output price of open-weight models ($1).

To estimate your own budget, use the agent cost calculator.

What do independent benchmarks say?

As of October 22, 2026, Epoch AI publishes no score for DeepSeek V4 Flash Vision Exp on our basket's benchmarks. To place it, rely on its specifications and price, then test it on your own cases.

At DeepSeek, the best-scoring model we track is DeepSeek V4.1 Flash 1017, with an index of 90.6.

What it can do

Its context window reaches 1,000,000 tokens, roughly 1,500 pages of text at 500 words per page: enough to load a whole book or a mid-sized codebase. A single answer can run to 384,000 tokens.

It accepts as input: text and image.

It can call tools (functions, APIs) and return structured JSON output, which makes it a possible foundation for an AI agent.

The weights are published on Hugging Face (deepseek-ai/DeepSeek-V4-Flash-Vision-Exp). See also our list of open-source models.

Who is it for?

Given its category, DeepSeek V4 Flash Vision Exp is mainly aimed at projects where you want control over your data or hosting, or want to adapt the model to your field.

Its very large context window makes it worth considering for analysing large sets of documents in a single request.

Before adopting it, test it on your own examples: benchmarks measure standard tasks, not your job.

Comparable models

In the same category, the models closest to DeepSeek V4 Flash Vision Exp are:

• Mistral Small 4 (Mistral AI, $0.63 per million output tokens)
• DeepSeek V4.1 Flash 1017 (DeepSeek, index 90.6)
• Llama-3.3-70B-Instruct (Meta, $0.76 per million output tokens)
• Hy3 (Tencent (Hunyuan), $0.53 per million output tokens)