DeepSeek-V3

DeepSeekMCP Tool Call
deepseek/deepseek-v3Open Weights

Open DeepSeek MoE chat model for coding, math, and general reasoning

Benchmark Pricing$0.50 / 1M in$1.50 / 1M out$0.15 cache read
Context: 131,072 tokens•Max Output: 8,192 tokens•Released: 2024-12-26

TECHNICAL SPECIFICATIONS

Context Window131,072131.1K tokens
Max Output8,1928.2K tokens
LicenseDeepSeek Model LicenseSelf-hostable
Input Modalities
Text
Function / Tool CallingSupported (MCP Ready)
Structured OutputsGuaranteed Schema

MODEL CONTEXT PROTOCOL (MCP) READINESS

✓ DeepSeek-V3 natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.

MCP Context Window Recommendations

With a context capacity of 131,072 tokens, this model can handle moderately large MCP tool definitions and multi-turn conversation logs comfortably.

API CALL INVOCATION EXAMPLE

// Example: Calling DeepSeek-V3 via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.DEEPSEEK_API_KEY,
});

const response = await client.chat.completions.create({
  model: "deepseek/deepseek-v3",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

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

PRICING BY PROVIDER

15 providers
Cortecsdeepseek-v3.2
$0.50 / $1.50$0.15 cache
NanoGPTdeepseek-v3-0324
$0.20 / $0.77$0.14 cache
TokenGodeepseek/deepseek-v3.2
$0.22 / $0.33$0.06 cache
Novita AIdeepseek/deepseek_v3
$0.89 / $0.89
302.AIdeepseek-v3.2
$0.29 / $0.43
Vivgriddeepseek-v3.2
$0.28 / $0.42$0.03 cache
LLM Gatewaynovita/deepseek-v3.2
$0.27 / $0.40$0.13 cache
Poenovita/deepseek-v3.2
$0.26 / $0.38$0.13 cache
Venice AIdeepseek-v3.2
$0.33 / $0.48$0.16 cache
Abacusdeepseek/deepseek-v3.1
$0.55 / $1.66
D.Run (China)public/deepseek-v3
$0.28 / $1.10
Vercel AI Gatewaydeepseek/deepseek-v3.2
$0.62 / $1.85
NEAR AI Clouddeepseek/deepseek-v3.2
$1.10 / $1.10$0.55 cache
Meliousdeepseek-v3.2
$0.35 / $0.58$0.09 cache
Ofoxdeepseek/deepseek-v3.2
$0.29 / $0.43$0.06 cache

Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.

Prompt Caching Active

This model supports prompt caching at $0.15 / 1M tokens, saving up to 70% on repetitive MCP tool definitions and system instructions.