Where is the DeepSeek V4 Flash Vision Exp documentation?

The DeepSeek V4 Flash Vision Exp documentation on OpenRouter includes the Does DeepSeek V4 Have Vision? blog post, the Why Use OpenRouter for DeepSeek blog post, and the DeepSeek V4 Is Earning Agentic Token Share blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.

How much does DeepSeek V4 Flash Vision Exp cost?

DeepSeek V4 Flash Vision Exp costs $0.2156/M input tokens and $0.6468/M output tokens, with separate rates for Cache Read at $0.00686/M tokens.

What is the context length of DeepSeek V4 Flash Vision Exp?

DeepSeek V4 Flash Vision Exp has a 1,048,576 token context window. It supports up to 262,144 completion tokens.

Does DeepSeek V4 Flash Vision Exp support tool calling and structured outputs?

Yes. DeepSeek V4 Flash Vision Exp accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does DeepSeek V4 Flash Vision Exp support?

DeepSeek V4 Flash Vision Exp accepts text and images as input and returns text.

Which providers serve DeepSeek V4 Flash Vision Exp?

DeepSeek V4 Flash Vision Exp is served by 2 providers on OpenRouter: DeepInfra and GMICloud. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was DeepSeek V4 Flash Vision Exp released?

DeepSeek V4 Flash Vision Exp was released on August 21, 2026.

DeepSeek: DeepSeek V4 Flash Vision Exp

deepseek/deepseek-v4-flash-vision-exp

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DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731 from DeepSeek, adding image understanding while matching the base model on text capabilities including agents, reasoning, and world knowledge. It is a sparse mixture-of-experts model with 13B active parameters out of 284B total.

It is suited for document and chart understanding, visual question answering, and multimodal agent workflows that interleave text and images.

Modalities

In / out price

51% off

$0.2156 / $0.6468per 1M

Context

1.0M

Released

Aug 21, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	$0.44	$1.32	$0.014	4.46s	55 tok/s	99.92%
51% off	$0.44$0.2156	$1.32$0.6468	$0.014$0.00686	1.33s	51 tok/s	99.44%

Input $0.44Output $1.32
55 tok/s99.92% uptime
Input $0.2156Output $0.6468
51% off
51 tok/s99.44% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.04313/M tokens

Output

$1.175/M tokens

DeepSeek V4 Flash Vision Exp — Price history

Price history

No effective price data for this selection

		$0.0239	$0.646	91.8%	33.5%
		$0.0529	$1.320	90.9%	66.5%

Effective in $0.0239Effective out $0.646
Token share
33.5%
Effective in $0.0529Effective out $1.320
Token share
66.5%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.93%

Availability over the last 3 days

Last 72 hours

Availability 99.93%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.92%

Without Routing

98.61%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for DeepSeek: DeepSeek V4 Flash Vision Exp (Artificial Analysis)
Source	Benchmark	Score
Artificial Analysis	DeepSeek V4 Flash Vision (Max) Coding Index	65.0
Artificial Analysis	DeepSeek V4 Flash Vision (Max) Agentic Index	47.5
Artificial Analysis	DeepSeek V4 Flash Vision (Max) GPQA Diamond	91.3%
Artificial Analysis	DeepSeek V4 Flash Vision (Max) HLE	34.5%
Artificial Analysis	DeepSeek V4 Flash Vision (Max) AA-LCR	81.3%
Artificial Analysis	DeepSeek V4 Flash Vision (Max) τ-Bench Banking	41.0%
Artificial Analysis	DeepSeek V4 Flash Vision (Max) GDPval-AA	52.7%
Artificial Analysis	DeepSeek V4 Flash Vision (Max) CritPt	10.9%
Artificial Analysis	DeepSeek V4 Flash Vision (Max) SciCode	49.7%
Artificial Analysis	DeepSeek V4 Flash Vision (Max) Terminal-Bench 4.0	12.1%
Artificial Analysis	DeepSeek V4 Flash Vision (Max) Terminal-Bench 2.1	74.2%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Kilo Code

Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.

23.9Btokens

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

20.9Btokens

DeepSeek Harness

new

9.4Btokens

There are many coding agents, but this one is yours.

6.39Btokens

Nous Research API

Nous Research is an AI research team focused on advancing open-source AI.

2.73Btokens

Rest of OpenRouter

3.89B

Top 5 Apps

273M

Not currently available through EU in-region routing. In-region routing docs

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DeepSeek: DeepSeek V4 Flash Vision Exp

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