DeepSeek R1 is a 671-billion parameter Mixture-of-Experts reasoning model released on January 20, 2025, trained with large-scale reinforcement learning to encourage natural emergence of reasoning behaviors like self-verification and reflection. With 37 billion activated parameters and a 64K token context window, it reaches performance on par with OpenAI o1 across mathematics, coding, and reasoning tasks. Benchmark results include 79.8% on AIME 2024 and 97.3% on MATH-500. The model outputs explicit chain-of-thought reasoning in thinking tokens between think tags alongside final answers, and supports tool calling, making it suitable for agentic workflows and complex reasoning applications. Released under the MIT license, DeepSeek R1 is fully open-source and ships with distilled variants from 1.5B through 70B parameters based on Qwen and Llama architectures, broadening access to reasoning-grade capabilities for developers.
DeepSeek R1 runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| US | Zero data retention | No | $4.00 | $4.00 |
DeepSeek R1 runs on a single route through the qynio gateway today, so its availability is that provider's availability.
Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.
Each route hosting DeepSeek R1 has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go β no action required. No training on customer data. US; wallets; deposit available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call DeepSeek R1 through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "novita/deepseek/deepseek-r1",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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