deepseek/deepseek-r1Open WeightsClassic open reasoning model for transparent math, coding, and deliberate problem solving
TECHNICAL SPECIFICATIONS
MODEL CONTEXT PROTOCOL (MCP) READINESS
✓ DeepSeek-R1 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 128,000 tokens, this model can handle moderately large MCP tool definitions and multi-turn conversation logs comfortably.
STANDARDIZED BENCHMARKS & EVALS
API CALL INVOCATION EXAMPLE
// Example: Calling DeepSeek-R1 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-r1",
messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});
console.log(response.choices[0].message.content);PRICING BY PROVIDER
Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.
This model supports prompt caching at $0.35 / 1M tokens, saving up to 50% on repetitive MCP tool definitions and system instructions.
MODEL RESOURCES
More Models by DeepSeek
Alternative and family models from the same lab
October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding
DeepSeek V4 Pro snapshot with million-token context and support for thinking and non-thinking modes
DeepSeek V4 Pro initial snapshot with million-token context and support for thinking and non-thinking modes