
DeepSeek: DeepSeek V4 Flash 0731
3 providers live- 3 live providers
- 100% uptime
- 0.40 s first token
- 134 tok/s output
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows. This is the GA release of DeepSeek V4 Flash.
- Context
- 1M
- tokens
- Max output
- 384K
- tokens
- Input
- $0.461
- per million tokens
- Output
- $0.9219
- per million tokens
Providers
Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.Benchmarks| Who answers now | Input per 1M | First token |
|---|---|---|
| $0.461 | 0.40 s | |
| $0.06 | 0.69 s | |
| $0.44 | 0.69 s |
Scaleway answers now: fastest first token.
First token is the 24-hour median. If the pick fails, the next one answers at its own price.
| # | Provider | Input | Output | Cache read | Latency | Throughput | Uptime (3d) |
|---|---|---|---|---|---|---|---|
| 1 | Data policy not declared | $0.461 | $0.9219 | $0.0922 | 0.40 s | 134 tok/s | 100% |
| 2 | Data policy not declared | $0.06 | $0.18 | $0.015 | 0.69 s | 45 tok/s | 100% |
| 3 | Data policy not declared | $0.44 | $1.32 | n/a | 0.69 s | 134 tok/s | 98.6% |
Price history
Input price since Oct 20, 2026, in USD per million tokens.
- DeepInfra
- Prime Intellect
- Scaleway
Data table
| Provider | From | Input | Output |
|---|---|---|---|
| DeepInfra | Oct 20, 2026 | $0.06 | $0.18 |
| Prime Intellect | Oct 21, 2026 | $0.44 | $1.32 |
| Scaleway | Oct 21, 2026 | $0.4621 | $0.9242 |
| Scaleway | Oct 22, 2026 | $0.4629 | $0.9257 |
| Scaleway | Oct 22, 2026 | $0.4617 | $0.9233 |
| Scaleway | Oct 23, 2026 | $0.4612 | $0.9224 |
| Scaleway | Oct 26, 2026 | $0.461 | $0.9219 |
Performance
Last 24 hours, from llm.buzz's test requestsThroughput (tok/s)
- Scaleway134 tok/s
- DeepInfra45 tok/s
- Prime Intellect134 tok/s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| Scaleway | Oct 26, 08:00 | 134 tok/s | 134 tok/s | 134 tok/s |
| Scaleway | Oct 26, 12:00 | 78 tok/s | 78 tok/s | 78 tok/s |
| Scaleway | Oct 26, 16:00 | 134 tok/s | 134 tok/s | 134 tok/s |
| Scaleway | Oct 26, 20:00 | 161 tok/s | 161 tok/s | 161 tok/s |
| Scaleway | Oct 27, 01:00 | 193 tok/s | 193 tok/s | 193 tok/s |
| Scaleway | Last 24 hours | 134 tok/s | 78 tok/s | 78 tok/s |
| DeepInfra | Oct 26, 05:00 | 45 tok/s | 45 tok/s | 45 tok/s |
| DeepInfra | Oct 26, 09:00 | 26 tok/s | 26 tok/s | 26 tok/s |
| DeepInfra | Oct 26, 13:00 | 45 tok/s | 45 tok/s | 45 tok/s |
| DeepInfra | Oct 26, 17:00 | 31 tok/s | 31 tok/s | 31 tok/s |
| DeepInfra | Oct 26, 22:00 | 54 tok/s | 54 tok/s | 54 tok/s |
| DeepInfra | Oct 27, 03:00 | 15 tok/s | 15 tok/s | 15 tok/s |
| DeepInfra | Last 24 hours | 45 tok/s | 15 tok/s | 15 tok/s |
| Prime Intellect | Oct 26, 06:00 | 134 tok/s | 134 tok/s | 134 tok/s |
| Prime Intellect | Oct 26, 10:00 | 401 tok/s | 401 tok/s | 401 tok/s |
| Prime Intellect | Oct 26, 15:00 | 134 tok/s | 134 tok/s | 134 tok/s |
| Prime Intellect | Oct 26, 19:00 | 65 tok/s | 65 tok/s | 65 tok/s |
| Prime Intellect | Oct 26, 23:00 | 65 tok/s | 65 tok/s | 65 tok/s |
| Prime Intellect | Last 24 hours | 134 tok/s | 65 tok/s | 65 tok/s |
Latency (time to first token)
- Scaleway0.40 s
- DeepInfra0.69 s
- Prime Intellect0.69 s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| Scaleway | Oct 26, 08:00 | 0.40 s | 0.40 s | 0.40 s |
| Scaleway | Oct 26, 12:00 | 0.48 s | 0.48 s | 0.48 s |
| Scaleway | Oct 26, 16:00 | 0.83 s | 0.83 s | 0.83 s |
| Scaleway | Oct 26, 20:00 | 0.40 s | 0.40 s | 0.40 s |
| Scaleway | Oct 27, 01:00 | 0.33 s | 0.33 s | 0.33 s |
| Scaleway | Last 24 hours | 0.40 s | 0.83 s | 0.83 s |
| DeepInfra | Oct 26, 05:00 | 0.83 s | 0.83 s | 0.83 s |
| DeepInfra | Oct 26, 09:00 | 3.57 s | 3.57 s | 3.57 s |
| DeepInfra | Oct 26, 13:00 | 0.69 s | 0.69 s | 0.69 s |
| DeepInfra | Oct 26, 17:00 | 0.69 s | 0.69 s | 0.69 s |
| DeepInfra | Oct 26, 22:00 | 0.69 s | 0.69 s | 0.69 s |
| DeepInfra | Oct 27, 03:00 | 1.72 s | 1.72 s | 1.72 s |
| DeepInfra | Last 24 hours | 0.69 s | 3.57 s | 3.57 s |
| Prime Intellect | Oct 26, 06:00 | 0.58 s | 0.58 s | 0.58 s |
| Prime Intellect | Oct 26, 10:00 | 0.58 s | 0.58 s | 0.58 s |
| Prime Intellect | Oct 26, 15:00 | 2.48 s | 2.48 s | 2.48 s |
| Prime Intellect | Oct 26, 19:00 | 0.69 s | 0.69 s | 0.69 s |
| Prime Intellect | Oct 26, 23:00 | 0.69 s | 0.69 s | 0.69 s |
| Prime Intellect | Last 24 hours | 0.69 s | 2.48 s | 2.48 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 0731 cost?
DeepSeek: DeepSeek V4 Flash 0731 costs $0.461 per million input tokens and $0.9219 per million output tokens at Scaleway, the provider requests go to first, with cache reads at $0.0922 per million tokens. 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 0731 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-0731",
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-0731",
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-0731",
"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 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows. This is the GA release of DeepSeek V4 Flash.
- Model ID
- deepseek/deepseek-v4-flash-0731
- Takes
- Text
- Answers
- Text
- Context
- 1M tokens
- Max output
- 384K 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