DeepSeek-R1

completions

bydeepinfra

DeepSeek-R1

completions

Published by: deepseekProvider:

deepinfra

DeepSeek-Reasoner is an advanced AI model designed to enhance logical reasoning and problem-solving capabilities, leveraging deep learning techniques to provide accurate and contextually relevant insights across various domains.

Released

Jan 20, 2025

Knowledge

Jul 24, 2024

License

MIT

Context

16K

Input

$0.75 / 1M tokens

Output

$2.4 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Released Jan 20, 2025Knowledge Cutoff: Jul 24, 2024License: MIT

Context: 16K Input: $0.75 / 1M tokensOutput: $2.4 / 1M tokensCapabilities: toolsAccepts: textReturns: text

Access DeepSeek-R1 through LangDB AI Gateway

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Benchmark Results for DeepSeek-R1

Category Performance Scores:

Maths: Score 76.00 (Top 24% - Rank #77)
Finance: Score 64.00 (Top 25% - Rank #80)
Science: Score 75.32 (Top 11% - Rank #36)
Writing: Score 58.48 (Top 23% - Rank #74)
Academia: Score 66.65 (Top 16% - Rank #52)
Marketing: Score 58.78 (Top 24% - Rank #77)
Programming: Score 44.10 (Top 19% - Rank #61)

Overall Performance: 63.333888888888886 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	14.90	Top 12%	General Knowledge
AIME	89.30	Top 6%	Mathematics
GPQA	81.30	Top 10%	STEM (Physics, Chemistry, Biology)
SciCode	40.30	Top 13%	Scientific
MATH-500	98.30	Top 6%	Mathematics
MMLU-Pro	84.90	Top 9%	General Knowledge
LiveCodeBench	77.00	Top 13%	Programming
AA Math Index	76.00	Top 24%	Mathematics
AA Coding Index	44.10	Top 19%	Programming
AAII	52.00	Top 17%	General

GPQA Score: 81.30 - Graduate-level reasoning benchmark

Model Comparison:

Provider: deepinfra

Model Type: completions

Context Size: 16000 tokens

Comparing against 320 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

14.9

General Knowledge

AIME

89.3

Mathematics

GPQA

81.3

STEM (Physics, Chemistry, Biology)

SciCode

40.3

Scientific

MATH-500

98.3

Mathematics

MMLU-Pro

84.9

General Knowledge

LiveCodeBench

77.0

Programming

AA Math Index

76.0

Mathematics

AA Coding Index

44.1

Programming

AAII

52.0

General

Metric	HLE	AIME	GPQA	SciCode	MATH-500	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	14.9	89.3	81.3	40.3	98.3	84.9	77.0	76.0	44.1	52.0

Compare with Similar Models

Code Examples

Integration samples and API usage

Code Samples for DeepSeek-R1

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai//projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="DeepSeek-R1",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

print(response.choices[0].message.content)

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai//projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "DeepSeek-R1",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

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

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai//projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "DeepSeek-R1",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: DeepSeek-R1

Provider: deepinfra

API Endpoint: $https://api.us-east-1.langdb.ai/

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