DeepSeek: DeepSeek V4 Pro 0813

2 providers live

deepseek/deepseek-v4-pro-0813

2 live providers
100% uptime
1.20 s first token
65 tok/s output

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.

Context: 1M; tokens
Max output: 16K; tokens
Input: $1.30; per million tokens
Output: $2.60; per million tokens

Providers

Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.Benchmarks

Live providers of DeepSeek V4 Pro 0813, in the router's order
Who answers now	Input per 1M	First token
llm.buzzpicked	$1.30	4.29 s
DeepInfra	$1.30	1.20 s

llm.buzz answers now: first in the router's order.

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	llm.buzzAutoNon-EU Data policy not declared	$1.30	$2.60	$0.10	4.29 s	65 tok/s	98.6%
2	DeepInfraNon-EU Data policy not declared	$1.30	$2.60	$0.10	1.20 s	54 tok/s	100%

Want to serve this model?Become a provider

Price history

No price changes since Oct 20, 2026.

DeepInfra$1.30 in, $2.60 out

Performance

Last 24 hours, from llm.buzz's test requests

Throughput (tok/s)

llm.buzz65 tok/s
DeepInfra54 tok/s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 04:00	54 tok/s	54 tok/s	54 tok/s
llm.buzz	Oct 26, 08:00	31 tok/s	31 tok/s	31 tok/s
llm.buzz	Oct 26, 13:00	78 tok/s	78 tok/s	78 tok/s
llm.buzz	Oct 26, 17:00	93 tok/s	93 tok/s	93 tok/s
llm.buzz	Oct 26, 21:00	65 tok/s	65 tok/s	65 tok/s
llm.buzz	Oct 27, 01:00	65 tok/s	65 tok/s	65 tok/s
llm.buzz	Last 24 hours	65 tok/s	31 tok/s	31 tok/s
DeepInfra	Oct 26, 05:00	45 tok/s	45 tok/s	45 tok/s
DeepInfra	Oct 26, 09:00	45 tok/s	45 tok/s	45 tok/s
DeepInfra	Oct 26, 14:00	78 tok/s	78 tok/s	78 tok/s
DeepInfra	Oct 26, 18:00	54 tok/s	54 tok/s	54 tok/s
DeepInfra	Oct 26, 22:00	31 tok/s	31 tok/s	31 tok/s
DeepInfra	Oct 27, 03:00	78 tok/s	78 tok/s	78 tok/s
DeepInfra	Last 24 hours	54 tok/s	31 tok/s	31 tok/s

Latency (time to first token)

llm.buzz4.29 s
DeepInfra1.20 s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 04:00	2.98 s	2.98 s	2.98 s
llm.buzz	Oct 26, 08:00	4.29 s	4.29 s	4.29 s
llm.buzz	Oct 26, 13:00	31.8 s	31.8 s	31.8 s
llm.buzz	Oct 26, 17:00	15.4 s	15.4 s	15.4 s
llm.buzz	Oct 26, 21:00	6.17 s	6.17 s	6.17 s
llm.buzz	Oct 27, 01:00	2.48 s	2.48 s	2.48 s
llm.buzz	Last 24 hours	4.29 s	31.8 s	31.8 s
DeepInfra	Oct 26, 05:00	1.44 s	1.44 s	1.44 s
DeepInfra	Oct 26, 09:00	1.20 s	1.20 s	1.20 s
DeepInfra	Oct 26, 14:00	0.83 s	0.83 s	0.83 s
DeepInfra	Oct 26, 18:00	5.14 s	5.14 s	5.14 s
DeepInfra	Oct 26, 22:00	5.14 s	5.14 s	5.14 s
DeepInfra	Oct 27, 03:00	1.00 s	1.00 s	1.00 s
DeepInfra	Last 24 hours	1.20 s	5.14 s	5.14 s

Uptime

Last 72 hours, by hour

Best provider 100%

This model

llm.buzz

DeepInfra

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 Pro 0813 cost?

DeepSeek: DeepSeek V4 Pro 0813 costs $1.30 per million input tokens and $2.60 per million output tokens at llm.buzz, the provider requests go to first, with cache reads at $0.10 per million tokens.

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 Pro 0813 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

Z.ai: GLM 5.3z-ai/glm-5.3

Open weights. 1M context, $0.98 input and $3.08 output. 5 providers.

NVIDIA: Nemotron 3 Supernvidia/nemotron-3-super-120b-a12b

Open weights. 256K context, $0.085 input and $0.40 output. 1 provider.

DeepSeek: DeepSeek V4 Flash 0731deepseek/deepseek-v4-flash-0731

Open weights. 1M context, $0.461 input and $0.9219 output. 3 providers.

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-pro-0813",
    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-pro-0813",
  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-pro-0813",
       "messages": [{"role": "user", "content": "Hello"}]}'

Endpoints

POST /api/v1/chat/completionsPOST /api/v1/responsesPOST /api/v1/messages

Authentication

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.

Call DeepSeek: DeepSeek V4 Pro 0813 with one keyEach request pays the price of the provider that answered it.

Get API key