claude-3-5-sonnet-20240620

completions

byanthropic

claude-3-5-sonnet-20240620

completions

Published by: anthropicProvider:

anthropic

Claude most intelligent model. Highest level of intelligence and capability

Released

Jun 21, 2024

Knowledge

Apr 1, 2024

License

Proprietary

Context

200K

Input

$3 / 1M tokens

Output

$15 / 1M tokens

Cached

$0.3 / 1M tokens

Cached Write

$3.75 / 1M tokens

Capabilities: tools

Accepts: text, image

Returns: text

Released Jun 21, 2024Knowledge Cutoff: Apr 1, 2024License: Proprietary

Context: 200K Input: $3 / 1M tokensOutput: $15 / 1M tokensCached: $0.3 / 1M tokensCached Write: $3.75 / 1M tokensCapabilities: toolsAccepts: text, imageReturns: text

Access claude-3-5-sonnet-20240620 through LangDB AI Gateway

Recommended

Integrate with anthropic's claude-3-5-sonnet-20240620 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

Benchmark Results for claude-3-5-sonnet-20240620

Category Performance Scores:

Academia: Score 46.58 (Top 46% - Rank #160)
Finance: Score 39.95 (Top 53% - Rank #184)
Marketing: Score 50.34 (Top 14% - Rank #49)
Maths: Score 46.40 (Top 59% - Rank #205)
Programming: Score 37.30 (Top 25% - Rank #87)
Science: Score 59.65 (Top 44% - Rank #153)
Writing: Score 36.85 (Top 17% - Rank #59)

Overall Performance: 45.294642857142854 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	15.70	Top 62%	Mathematics
AA Coding Index	37.30	Top 25%	Programming
AAII	33.50	Top 38%	General
AA Math Index	46.40	Top 59%	Mathematics
DROP	87.10	Top 33%	General Knowledge
GPQA	59.65	Top 44%	STEM (Physics, Chemistry, Biology)
HLE	3.90	Top 82%	General Knowledge
HumanEval	92.00	Top 8%	Programming
LiveCodeBench	38.10	Top 29%	Programming
MATH-500	77.10	Top 60%	Mathematics
MMLU	90.40	Top 9%	General Knowledge
MMLU-Pro	76.65	Top 27%	General Knowledge
SciCode	36.60	Top 13%	Scientific

MMLU Score: 90.40 - Massive Multitask Language Understanding benchmark

HumanEval Score: 92.00 - Coding capability benchmark

GPQA Score: 59.65 - Graduate-level reasoning benchmark

Model Comparison:

Provider: anthropic

Model Type: completions

Context Size: 200000 tokens

Comparing against 347 models in the database

Performance Analytics for claude-3-5-sonnet-20240620

Usage Statistics (Last 1 Days):

Total Requests: 1 API calls
Average TPS: 6469.45 tokens per second
Average Response Time: 3182.80ms
Average Time to First Token: 2391.40ms
Total Cost: $0.07
Average Request Cost: $0.0750

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/8/2025	1	6469.45	3182.80ms	2391.40ms	$0.07

Performance Summary:

Model: claude-3-5-sonnet-20240620 by anthropic

Monitoring Period: 9/3/2025 to 9/10/2025

Average Daily Requests: 1

Peak Daily Requests: 1

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

6469.45 tokens/s

Category Scores

marketing#14

Benchmark Tests

View Other Benchmarks

AIME

15.7

Mathematics

AA Coding Index

37.3

Programming

AAII

33.5

General

AA Math Index

46.4

Mathematics

DROP

87.1

General Knowledge

GPQA

59.7

STEM (Physics, Chemistry, Biology)

HLE

3.9

General Knowledge

HumanEval

92.0

Programming

LiveCodeBench

38.1

Programming

MATH-500

77.1

Mathematics

MMLU

90.4

General Knowledge

MMLU-Pro

76.6

General Knowledge

SciCode

36.6

Scientific

Metric	AIME	AA Coding Index	AAII	AA Math Index	DROP	GPQA	HLE	HumanEval	LiveCodeBench	MATH-500	MMLU	MMLU-Pro	SciCode
Score	15.7	37.3	33.5	46.4	87.1	59.7	3.9	92.0	38.1	77.1	90.4	76.6	36.6

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Code Examples

Integration samples and API usage

Code Samples for claude-3-5-sonnet-20240620

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="claude-3-5-sonnet-20240620",
    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: "claude-3-5-sonnet-20240620",
    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": "claude-3-5-sonnet-20240620",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: claude-3-5-sonnet-20240620

Provider: anthropic

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

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claude-3-5-sonnet-20240620 by anthropic - AI Model Details, Pricing, and Performance Metrics

claude-3-5-sonnet-20240620

claude-3-5-sonnet-20240620

Access claude-3-5-sonnet-20240620 through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

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Code Examples

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