DeepSeek R1

by DeepSeek

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.

Key info

Input
Output
Features
Context window
64K
Max output
16K
Input price
$4.00 /1M
Output price
$4.00 /1M
  • US residency available
  • Zero data retention via Enterprise
  • No training by default
  • GDPR DPA available

Available routes

DeepSeek R1 runs on 1 route through the Opper gateway. Compare residency, ZDR, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
USEnterpriseNo$4.00$4.00

Training posture across routes: No training on prompts by default.

Data handling per route

Each route hosting DeepSeek R1 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Novita β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.

Zero data retention
Available via Opper Enterprise contract.
Training
No training on customer data.
Logging
Abuse monitoring
Third-party access
None disclosed
GDPR DPA
DPA available
Transfer mechanism
SCCs

Benchmarks

Independent benchmark scores β€” composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#192 of 534 LLMs
TierEfficient
Output speed0 tok/s
First token0.00s
Intelligence Index20.1
Math Index76.0
Reasoning & knowledge
MMLU-Pro
85%
GPQA Diamond
81%
Humanity's Last Exam
15%
Long-context reasoning
55%
Coding
LiveCodeBench
77%
SciCode
40%
Agentic & tool use
Terminal-Bench Hard
16%
τ²-Bench Telecom
37%
Math & instruction following
AIME 2025
76%
IFBench
40%

Get started

Call DeepSeek R1 through the Opper gateway with one API key. Let your coding agent set it up, or call it directly β€” Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into your coding agent β€” Claude Code, Cursor, Codex, and more β€” and it'll wire up Opper for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPPER_API_KEY,
baseURL: "https://api.opper.click/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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DeepSeek R1 by DeepSeek β€” pricing, benchmarks | Opper AI