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DeepSeek: DeepSeek V4 Flash Vision Exp
deepseek/deepseek-v4-flash-vision-expTry DeepSeek: DeepSeek V4 Flash Vision Exp now
Runs on your balance at the prices above. New accounts start with free usage.
One API. Every model.
Session cost $0.00
Settings
Advanced parameters
DeepSeek: DeepSeek V4 Flash Vision Exp at a glance
- Input price is 52% lower than the median of 434 Text models.
- Context window of 1,048,576 tokens, enough for long documents and multi-turn conversations.
- Supports tool (function) calling for agents and integrations.
- Supports structured JSON output with a schema.
- Supports reasoning effort control.
- Accepts images as input (vision).
- A typical request (1,000 input / 500 output tokens) costs about $0.00189.
About DeepSeek: DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp is an experimental vision enabled model from DeepSeek. It builds on DeepSeek V4 Flash 0731, adding image understanding while matching the base model on text capabilities, including agentic behaviour. The provider released it on 2026-08-21. It sits in the text category, which is where api14 files it, even though it accepts images as input alongside text.
On input the model takes text and images. On output it returns text only, so it does not generate images. The context window is 1,048,576 tokens, and the maximum output is 262,144 tokens. That combination of a very large context and a large output budget means you can send long documents, large image sets or extended conversation histories and still leave room for a substantial response. Because the vision support is experimental, treat image handling as the newer part of the model and text handling as the part inherited from the base model.
The practical uses follow from those capabilities. You can pass screenshots, diagrams, scanned pages or photographs together with a text prompt and get a text answer, which suits document extraction, visual question answering, chart and table reading, UI or screenshot review, and captioning or summarising image content. The long context helps when a single request mixes many images with a long written brief, or when you want the model to reason across an entire report rather than a fragment. Text only work such as drafting, summarisation, classification and tool driven agent flows is also in scope, since the model matches the base model on text.
You call it through api14's OpenAI compatible API using the model id "deepseek/deepseek-v4-flash-vision-exp". The supported request parameters are frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs and top_p. That set covers sampling controls, penalties, seeding for reproducibility, stop sequences, token limits, log probability reporting, structured outputs, and tool or function calling with a choice of tool selection. Reasoning related parameters let you request or tune reasoning output where the model supports it.
Two things are worth weighing before you commit. The model is labelled experimental, and the vision capability is the part that is new relative to the base model, so if your workload is purely text you may prefer the non vision base model it derives from. If you need image output rather than image input, this model will not fit, because it returns text only.
How to call the DeepSeek: DeepSeek V4 Flash Vision Exp API
- Create an API key in your dashboard.
- Install the official openai SDK for your language.
- Set baseURL to https://api14.com/api/v1 and model to "deepseek/deepseek-v4-flash-vision-exp".
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.chat.completions.create({
"model": "deepseek/deepseek-v4-flash-vision-exp",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
Supported parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_pSpecifications
- Context length
- 1,048,576
- Max output
- 262,144
- Input
- text, image
- Output
- text
Requests on api14 · last 7 days
DeepSeek: DeepSeek V4 Flash Vision Exp: frequently asked questions
- How much does the DeepSeek: DeepSeek V4 Flash Vision Exp API cost?
- DeepSeek: DeepSeek V4 Flash Vision Exp costs Input $0.75 / 1M tokens. It is charged from your USD balance only for successful requests; failed requests are free.
- What is the context window of DeepSeek: DeepSeek V4 Flash Vision Exp?
- DeepSeek: DeepSeek V4 Flash Vision Exp reads up to 1,048,576 tokens per request: prompt, history and documents together. It writes up to 262,144 output tokens per response.
- What can DeepSeek: DeepSeek V4 Flash Vision Exp do?
- DeepSeek: DeepSeek V4 Flash Vision Exp accepts text, image and returns text. It supports tool calling, structured JSON output, reasoning effort control.
- How do I call DeepSeek: DeepSeek V4 Flash Vision Exp from my code?
- Point any OpenAI SDK at https://api14.com/api/v1 and set the model to "deepseek/deepseek-v4-flash-vision-exp". No other code changes. Copy a ready example from the code panel on this page.
- What are alternatives to DeepSeek: DeepSeek V4 Flash Vision Exp?
- Comparable Text models at a similar price: Google: Gemini 3.1 Flash Lite (batch), Meta: Llama 4 Maverick, Mistral: Mistral Small 3.1 24B. Each runs through the same API key, so switching is one string.
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