DeepSeek-R1-Distill-Llama-70B

completions

On:deepinfraopenrouter

DeepSeek-R1-Distill-Llama-70B

completions

Published by: deepseekProviders:

deepinfra openrouter

DeepSeek-R1-Distill models are fine-tuned based on open-source models, using samples generated by DeepSeek-R1.

Provider	Input	Output
deepinfra	$0.5 / 1M tokens	$1 / 1M tokens
openrouter	$0.11 / 1M tokens	$0.38 / 1M tokens

Released

Jan 20, 2025

Knowledge

Jul 24, 2024

Context

131072

Input

$0.5 / 1M tokens

Output

$1 / 1M tokens

Accepts: text

Returns: text

Providers	Context	Input Price	Output Price	Input Formats	Output Formats	License
deepinfra	131072 tokens	$0.5 / 1M tokens	$1 / 1M tokens	text	text	MIT
openrouter	131072 tokens	$0.11 / 1M tokens	$0.38 / 1M tokens	text	text	MIT

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

Access DeepSeek-R1-Distill-Llama-70B through LangDB AI Gateway

Recommended

Integrate with deepseek's DeepSeek-R1-Distill-Llama-70B and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

Unified API

Cost Optimization

Enterprise Security

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Free tier available • No credit card required

Instant Setup

99.9% Uptime

10,000+Monthly Requests

Available from 2 providers

Provider:

Benchmark Results for DeepSeek-R1-Distill-Llama-70B

Category Performance Scores:

Maths: Score 53.70 (Top 47% - Rank #151)
Finance: Score 41.80 (Top 53% - Rank #170)
Science: Score 64.19 (Top 43% - Rank #138)
Writing: Score 39.91 (Top 70% - Rank #224)
Academia: Score 47.55 (Top 47% - Rank #151)
Marketing: Score 37.70 (Top 75% - Rank #240)
Programming: Score 19.70 (Top 76% - Rank #244)

Overall Performance: 43.509206349206345 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	6.10	Top 38%	General Knowledge
AIME	67.00	Top 25%	Mathematics
GPQA	65.20	Top 44%	STEM (Physics, Chemistry, Biology)
SciCode	31.20	Top 45%	Scientific
MATH-500	93.50	Top 27%	Mathematics
MMLU-Pro	79.50	Top 38%	General Knowledge
LiveCodeBench	26.60	Top 71%	Programming
AA Math Index	53.70	Top 47%	Mathematics
AA Coding Index	19.70	Top 76%	Programming
AAII	29.90	Top 53%	General

GPQA Score: 65.20 - Graduate-level reasoning benchmark

Model Comparison:

Provider: deepinfra

Model Type: completions

Context Size: 131072 tokens

Comparing against 320 models in the database

Performance Analytics for DeepSeek-R1-Distill-Llama-70B

Usage Statistics (Last 1 Days):

Total Requests: 82 API calls
Average TPS: 1162.53 tokens per second
Average Response Time: 4379.00ms
Average Time to First Token: 4379.00ms
Total Cost: $0.27
Average Request Cost: $0.0033

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
11/11/2025	82	1162.53	4379.00ms	4379.00ms	$0.27

Performance Summary:

Model: DeepSeek-R1-Distill-Llama-70B by deepinfra

Monitoring Period: 11/11/2025 to 11/18/2025

Average Daily Requests: 82

Peak Daily Requests: 82

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

1162.53 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

6.1

General Knowledge

AIME

67.0

Mathematics

GPQA

65.2

STEM (Physics, Chemistry, Biology)

SciCode

31.2

Scientific

MATH-500

93.5

Mathematics

MMLU-Pro

79.5

General Knowledge

LiveCodeBench

26.6

Programming

AA Math Index

53.7

Mathematics

AA Coding Index

19.7

Programming

AAII

29.9

General

Metric	HLE	AIME	GPQA	SciCode	MATH-500	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	6.1	67.0	65.2	31.2	93.5	79.5	26.6	53.7	19.7	29.9

Compare with Similar Models

Code Examples

Integration samples and API usage

Code Samples for DeepSeek-R1-Distill-Llama-70B

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-Distill-Llama-70B",
    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-Distill-Llama-70B",
    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-Distill-Llama-70B",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: DeepSeek-R1-Distill-Llama-70B

Provider: deepinfra

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

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DeepSeek-R1-Distill-Llama-70B by deepinfra - AI Model Details, Pricing, and Performance Metrics

DeepSeek-R1-Distill-Llama-70B

DeepSeek-R1-Distill-Llama-70B

Access DeepSeek-R1-Distill-Llama-70B through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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