DeepSeek V4.1 Flash

API Model ID:deepseek-v4.1-flash

Next-gen MoE inference engine delivering sub-cent high-throughput intelligence.

#MoE#Ultra Low Cost#Sub-Cent#High Throughput#Fast

Deploy with Gruvo All Models

Context Window256K tokens256,000 tokens

Max Output32K tokens32,000 tokens

Input Price$0.12per 1M input tokens

Output Price$0.28per 1M output tokens

Latency / Speed~85ms210 tokens/sec

Overview & Architecture

DeepSeek V4.1 Flash is an architectural marvel in sparse Mixture-of-Experts engineering. By activating only a fraction of its total parameters per token, V4.1 Flash provides frontier-class classification, reasoning, and summarization at a small fraction of western API costs.

ArchitectureSparse Mixture-of-Experts with Multi-Head Latent Attention (MLA)

Knowledge IndexCurrent (Continuously Indexed)

Benchmark Highlights

MMLU88.6%

General reasoning accuracy

HumanEval89.2%

Code generation benchmark

GSM8K93.4%

Grade-school math problem solving

Supported Capabilities

Function Calling / Tools

Supported

Vision & Image Inputs

Audio & Voice Inputs

Structured JSON Mode

Supported

System Prompts

Supported

Streaming Completions

Supported

Prompt Caching

Supported

Engineering Strengths

Industry-leading affordability: only $0.12 per million input tokens
High sustained throughput exceeding 200 tokens per second
Strong coding and mathematical reasoning rivaling expensive frontier models
Low latency profile ideal for high-concurrency enterprise pipelines

Recommended Production Workloads

High-volume data processing, document classification, and ETL pipelines
High-scale customer chatbots with strict cost caps
Automated unit test generation and syntax linting services

Execute via Gruvo

Unified Endpoint

Connect through Gruvo with OpenAI-compatible client libraries. Gruvo translates requests, manages provider streaming, and applies caching automatically.

import OpenAI from "openai";

// Configure client with Gruvo's unified AI gateway
const gruvo = new OpenAI({
  baseURL: "https://api.gruvo.ai/v1",
  apiKey: process.env.GRUVO_API_KEY,
  defaultHeaders: {
    "X-Gruvo-Provider": "deepseek",
  },
});

const completion = await gruvo.chat.completions.create({
  model: "deepseek-v4.1-flash",
  messages: [
    { role: "system", content: "You are a production reasoning assistant." },
    { role: "user", content: "Analyze the architecture of our service." },
  ],
  temperature: 0.2,
});

console.log(completion.choices[0].message.content);