---
type: "post"
id: "deepseek-v4-flash-vision-exp-release-multimodal-api-0831ab"
slug: "deepseek-v4-flash-vision-exp-release-multimodal-api-0831ab"
title: "DeepSeek-V4-Flash-Vision-Exp Release: Multimodal API Now Live"
description: "DeepSeek’s experimental V4-Flash-Vision-Exp model is now live on its API Platform."
retrieval_nugget: "DeepSeek’s experimental V4-Flash-Vision-Exp model is now live on its API Platform."
published_at: "2026-10-16"
updated_at: "2026-10-16"
record_date: "2026-10-16"
date_kind: "published_at"
topics: ["multimodal"]
source_urls: ["https://api-docs.deepseek.com/news/news260821"]
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editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
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---

# DeepSeek-V4-Flash-Vision-Exp Release: Multimodal API Now Live

## Retrieval answer

DeepSeek’s experimental V4-Flash-Vision-Exp model is now live on its API Platform.

DeepSeek’s experimental V4-Flash-Vision-Exp model is now live on its API Platform. The release adds image input to a model whose text capabilities the company says match V4-Flash. It supports mixed text and image input via base64, external URLs, or the Files API, and works through Chat Completions, Messages, and Responses. DeepSeek also says Harness 0.1.1 includes out-of-the-box support.

The thesis is: This release makes visual input a callable extension of DeepSeek’s existing Flash API surface, rather than a separate one-off interface. The mechanism is: A shared model endpoint accepts text and images, with image billing capped at 384 tokens per image at V4-Flash pricing; the Files API adds free upload and reuse through file_id. This can reduce integration friction for teams whose agent workflows need to inspect images, though the source does not document task-level reliability or deployment outcomes.

Why now: DeepSeek’s announcement moves the V4-Flash line beyond text-only use and names supported interfaces and input paths, giving builders something concrete to test. The first implication is: Teams already using these API interfaces can evaluate visual tasks without switching to a separate endpoint family. The first watch condition is: Whether independent evaluations and user experience establish reliable performance on real multimodal agent tasks. Evidence boundary: The “close to Opus-4.8” benchmark comparison is DeepSeek’s characterization; the announcement provides no benchmark methodology or independent validation. This begins a distinct analytical record because no prior New Runtime record was supplied for this specific vision API release.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Multimodal](https://newruntime.com/topics/multimodal.md): Explore the multimodal topic hub.
- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)
