
DeepSeek: DeepSeek V4 Flash Vision Exp
2 providers live- 2 live providers
- 100% uptime
- 0.83 s first token
- 193 tok/s output
- 25% off
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.
- Context
- 1M
- tokens
- Max output
- 256K
- tokens
- Input
$0.44$0.33- per million tokens, 25% off
- Output
$1.32$0.99- per million tokens, 25% off
Providers
Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.BenchmarksPrice history
No price changes since Oct 20, 2026. The history shows prices before discounts.
- DeepInfra$0.44 in, $1.32 out
Performance
Last 24 hours, from llm.buzz's test requestsThroughput (tok/s)
- llm.buzz112 tok/s
- DeepInfra193 tok/s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| llm.buzz | Oct 26, 08:00 | 112 tok/s | 112 tok/s | 112 tok/s |
| llm.buzz | Oct 26, 12:00 | 65 tok/s | 65 tok/s | 65 tok/s |
| llm.buzz | Oct 26, 16:00 | 45 tok/s | 45 tok/s | 45 tok/s |
| llm.buzz | Oct 26, 20:00 | 193 tok/s | 193 tok/s | 193 tok/s |
| llm.buzz | Oct 27, 00:00 | 161 tok/s | 161 tok/s | 161 tok/s |
| llm.buzz | Oct 27, 04:00 | 112 tok/s | 112 tok/s | 112 tok/s |
| llm.buzz | Last 24 hours | 112 tok/s | 45 tok/s | 45 tok/s |
| DeepInfra | Oct 26, 06:00 | 193 tok/s | 193 tok/s | 193 tok/s |
| DeepInfra | Oct 26, 10:00 | 161 tok/s | 161 tok/s | 161 tok/s |
| DeepInfra | Oct 26, 14:00 | 232 tok/s | 232 tok/s | 232 tok/s |
| DeepInfra | Oct 26, 18:00 | 193 tok/s | 193 tok/s | 193 tok/s |
| DeepInfra | Oct 26, 23:00 | 193 tok/s | 193 tok/s | 193 tok/s |
| DeepInfra | Oct 27, 04:00 | 78 tok/s | 78 tok/s | 78 tok/s |
| DeepInfra | Last 24 hours | 193 tok/s | 78 tok/s | 78 tok/s |
Latency (time to first token)
- llm.buzz2.98 s
- DeepInfra0.83 s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| llm.buzz | Oct 26, 08:00 | 5.14 s | 5.14 s | 5.14 s |
| llm.buzz | Oct 26, 12:00 | 38.2 s | 38.2 s | 38.2 s |
| llm.buzz | Oct 26, 16:00 | 38.2 s | 38.2 s | 38.2 s |
| llm.buzz | Oct 26, 20:00 | 2.98 s | 2.98 s | 2.98 s |
| llm.buzz | Oct 27, 00:00 | 1.72 s | 1.72 s | 1.72 s |
| llm.buzz | Oct 27, 04:00 | 2.07 s | 2.07 s | 2.07 s |
| llm.buzz | Last 24 hours | 2.98 s | 38.2 s | 38.2 s |
| DeepInfra | Oct 26, 06:00 | 0.83 s | 0.83 s | 0.83 s |
| DeepInfra | Oct 26, 10:00 | 1.00 s | 1.00 s | 1.00 s |
| DeepInfra | Oct 26, 14:00 | 0.83 s | 0.83 s | 0.83 s |
| DeepInfra | Oct 26, 18:00 | 0.83 s | 0.83 s | 0.83 s |
| DeepInfra | Oct 26, 23:00 | 1.00 s | 1.00 s | 1.00 s |
| DeepInfra | Oct 27, 04:00 | 1.00 s | 1.00 s | 1.00 s |
| DeepInfra | Last 24 hours | 0.83 s | 1.00 s | 1.00 s |
Uptime
Last 72 hours, by hour- Up: 95% or more served
- Degraded: 85% to 95%
- Down: below 85%
- No data
- From llm.buzz's test requests
Questions
How much does DeepSeek: DeepSeek V4 Flash Vision Exp cost?
DeepSeek: DeepSeek V4 Flash Vision Exp costs $0.33 per million input tokens and $0.99 per million output tokens at llm.buzz, the provider requests go to first, with cache reads at $0.0105 per million tokens. These prices are 25% off until 2026-11-06 00:00 UTC. Each provider sets its own price, and you pay the price of the provider that answered.
Do providers train on my prompts?
Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.
Can I serve DeepSeek: DeepSeek V4 Flash Vision Exp myself?
Yes. Apply as a provider, add your endpoint and list this model at your price. It goes live once the automated check passes.
Similar models
Call it
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.llm.buzz/api/v1",
api_key=os.environ["LLM_BUZZ_KEY"],
)
reply = client.chat.completions.create(
model="deepseek/deepseek-v4-flash-vision-exp",
messages=[{"role": "user", "content": "Hello"}],
)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.llm.buzz/api/v1",
apiKey: process.env.LLM_BUZZ_KEY,
});
const reply = await client.chat.completions.create({
model: "deepseek/deepseek-v4-flash-vision-exp",
messages: [{ role: "user", content: "Hello" }],
});curl https://api.llm.buzz/api/v1/chat/completions \
-H "Authorization: Bearer $LLM_BUZZ_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "deepseek/deepseek-v4-flash-vision-exp",
"messages": [{"role": "user", "content": "Hello"}]}'Endpoints
POST /api/v1/chat/completionsPOST /api/v1/responsesPOST /api/v1/messagesAuthentication
Send your llm.buzz key as a Bearer token: Authorization: Bearer $LLM_BUZZ_KEY. Create keys in the console. The same key calls every model; each request pays the price of the provider that answered it.
More in Authentication and the API reference.
README
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.
- Model ID
- deepseek/deepseek-v4-flash-vision-exp
- Takes
- Text, image
- Answers
- Text
- Context
- 1M tokens
- Max output
- 256K tokens
- Capabilities
- Tools, Caching, Structured outputs
- Parameters
- max_tokens, response_format, structured_outputs, temperature, tool_choice, tools
- Weights
- Open weights
- On llm.buzz since
- Oct 20, 2026