Text model

deepseek-v4-pro

DeepSeek V4 Pro

DeepSeek V4 Pro is listed on the current BatchIn Model API surface.

Model detailAvailableDense Transformer

Params

V4 Pro

Context

256K

Max Output

64K

License

Proprietary

API Surface

/v1/chat/completions

Access

Available

Why pick it

  • Available in the current product catalog.
  • Pricing is shown when the model is available for your account.

Pricing

TierPublicCachedNote
Realtime$0.16 / $0.32N/ACurrent published price
BatchContact us for batchN/APublished batch rates appear here when available
Current BatchIn list price.

Quick start

Works with common OpenAI-style integrations. Point your client to the BatchIn base URL and start testing.

Python
from openai import OpenAI

client = OpenAI(
    base_url="https://api.batchin.tech/v1",
    api_key="BATCHIN_API_KEY"
)

resp = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[{"role": "user", "content": "Summarize why this model is a fit for my workload"}]
)

print(resp.choices[0].message.content)
JavaScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.batchin.tech/v1",
  apiKey: process.env.BATCHIN_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "deepseek-v4-pro",
  messages: [{ role: "user", content: "Summarize why this model is a fit for my workload" }],
});

console.log(resp.choices[0]?.message?.content);
cURL
curl https://api.batchin.tech/v1/chat/completions \
  -H "Authorization: Bearer ***" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro",
    "messages": [{"role":"user","content":"Summarize why this model is a fit for my workload"}]
  }'

Specs

Architecture

Dense Transformer

Model type

Text model

Context window

256K

Max output

64K

Best for

deepseek
managed
preview

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