Large Language Modeldeepseek-v4.1-flash

DeepSeek V4.1 Flash

Fast Reasoning

Upgraded 2026 DeepSeek lightweight model with enhanced reasoning density, sub-100ms first-token latency, and ultra-high throughput.

AvailableDense TransformerProprietary

Params

Flash 256K

Context

256K

Max Output

64K

API Surface/v1/chat/completions

Capabilities & Performance

  • Sub-100ms first token latency for realtime agent loops
  • Starting at $0.322/M input, $1.290/M output on BatchIn SLA

Transparent Pricing

LanePublic RateCached
Realtime API$0.32 / $1.29$0.064

Prices per 1M tokens. Cached prompt rate applies on prefix hits.

100% OpenAI-Compatible Code

Drop-in API Examples

Python (OpenAI SDK)
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-v4.1-flash",
    messages=[{"role": "user", "content": "Benchmark system architecture performance and cost profile."}]
)

print(resp.choices[0].message.content)
JavaScript / Node.js
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-v4.1-flash",
  messages: [{ role: "user", content: "Benchmark system architecture performance and cost profile." }],
});

console.log(resp.choices[0]?.message?.content);
cURL / Shell
curl https://api.batchin.tech/v1/chat/completions \
  -H "Authorization: Bearer $BATCHIN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4.1-flash",
    "messages": [{"role":"user","content":"Benchmark system architecture performance and cost profile."}]
  }'

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