Speed
Output tokens / second
Custom pricing for production workloads
DeepSeek V4 Flash Vision Exp is an experimental vision-enabled build of DeepSeek V4 Flash with a 1M-token context window and thinking mode enabled by default.
Meet DeepSeek V4 Flash Vision Exp, an experimental vision build of DeepSeek V4 Flash with a full 1M-token context window.
deepseek/deepseek-v4-flash-vision-exphttps://api.aimlapi.com/v1DeepSeek V4 Flash Vision Exp is an experimental vision-enabled build of DeepSeek V4 Flash from DeepSeek. It adds image understanding on top of the base model while matching it on text tasks, carrying forward the same 1M-token context window and thinking mode enabled by default.
| Developer | DeepSeek |
|---|---|
| Model ID | deepseek/deepseek-v4-flash-vision-exp |
| Release Date | August 21, 2026 |
| Context Window | 1,048,576 tokens (~1M) |
| Max Output Tokens | 384,000 |
| Modalities | Image, Text (input) → Text (output) |
| Capabilities | Reasoning, tool/function calling, streaming, structured (JSON schema) output, vision |
Image input is layered on top of DeepSeek V4 Flash without giving up its text performance, so the same model works for plain chat and for tasks that require reading an image.
Reasoning tokens are generated automatically before the final answer, which helps on multi-step or ambiguous requests without extra configuration.
Long documents, transcripts, or multi-turn conversations can be passed in a single request without chunking.
Ask questions about screenshots, diagrams, or photos alongside regular text instructions in the same request.
This model is documented for visual understanding workflows, including describing pictures, reading text from screenshots, and analyzing charts.
It is also documented for multimodal agent workflows, where visual understanding is combined with tools to support practical agent-based tasks.
It is documented for UI analysis and screenshot-based tasks, such as identifying interface elements and reasoning from visual evidence.
It is documented for document extraction from images, including invoices, receipts, delivery notes, and insurance forms.
See how DeepSeek V4 Flash Vision Exp compares in generation speed and latency. Data retrieved Nov 3, 2026.
Output tokens / second
Compare 7 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Agentic tasks completed in a command-line environment.
Reasoning across long documents of about 100k tokens.
Python coding tasks drawn from scientific research.
| Usage | Price | Unit |
|---|---|---|
| Input | $0.44 | 1M tokens |
| Output | $1.32 | 1M tokens |
| Cached input | $0.014 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.44 | $1.32 | |
| $0.3 | $1.2 | |
| $0.3 | $1.2 | |
| $0.39 | $1.56 | |
| $1.84 | $3.68 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "deepseek/deepseek-v4-flash-vision-exp",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "deepseek/deepseek-v4-flash-vision-exp",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "deepseek/deepseek-v4-flash-vision-exp",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());DeepSeek V4 Flash Vision Exp has a 1,048,576 tokens context window and can return up to 384,000 tokens.
DeepSeek V4 Flash Vision Exp takes image, text as input and returns text.
Use deepseek/deepseek-v4-flash-vision-exp as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
DeepSeek V4 Flash Vision Exp became available on August 21, 2026.
DeepSeek V4 Flash Vision Exp costs $0.44 input and $1.32 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Yes, DeepSeek V4 Flash Vision Exp can stream responses as they are generated.
Yes, DeepSeek V4 Flash Vision Exp accepts image input alongside text.
DeepSeek V4 Flash Vision Exp was built by DeepSeek.
DeepSeek V4 Flash Vision Exp is described as an experimental build, adding vision capability on top of DeepSeek V4 Flash.
Yes, it matches DeepSeek V4 Flash on text tasks while adding image understanding.