claude-sonnet-4.5

completions

byanthropic

claude-sonnet-4.5

completions

Published by: anthropicProvider:

anthropic

Claude Sonnet 4.5 is the best coding model in the world. It's the strongest model for building complex agents. It’s the best model at using computers. And it shows substantial gains in reasoning and math.

Released

Sep 29, 2025

Knowledge

Apr 2, 2025

Context

200K

Input

$3 / 1M tokens

Output

$15 / 1M tokens

Cached

$0.3 / 1M tokens

Cached Write

$3.75 / 1M tokens

Capabilities: tools, reasoning

Accepts: text, image

Returns: text

Released Sep 29, 2025Knowledge Cutoff: Apr 2, 2025

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

Access claude-sonnet-4.5 through LangDB AI Gateway

Recommended

Integrate with anthropic's claude-sonnet-4.5 and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

Unified API

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99.9% Uptime

10,000+Monthly Requests

Benchmark Results for claude-sonnet-4.5

Category Performance Scores:

Academia: Score 73.05 (Top 3% - Rank #11)
Finance: Score 75.35 (Top 7% - Rank #24)
Marketing: Score 69.22 (Top 4% - Rank #14)
Maths: Score 88.00 (Top 9% - Rank #31)
Programming: Score 49.80 (Top 4% - Rank #14)
Science: Score 77.65 (Top 7% - Rank #24)
Writing: Score 66.86 (Top 8% - Rank #27)

Overall Performance: 71.41857142857144 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AA Coding Index	49.80	Top 4%	Programming
AAII	62.70	Top 3%	General
AA Math Index	88.00	Top 9%	Mathematics
GPQA	83.40	Top 4%	STEM (Physics, Chemistry, Biology)
HLE	17.30	Top 7%	General Knowledge
LiveCodeBench	71.40	Top 11%	Programming
MMLU-Pro	87.50	Top 1%	General Knowledge
SciCode	44.70	Top 1%	Scientific

GPQA Score: 83.40 - Graduate-level reasoning benchmark

Model Comparison:

Provider: anthropic

Model Type: completions

Context Size: 200000 tokens

Comparing against 335 models in the database

Performance Analytics for claude-sonnet-4.5

Usage Statistics (Last 1 Days):

Total Requests: 2 API calls
Average TPS: 4135.04 tokens per second
Average Response Time: 3168.00ms
Average Time to First Token: 2146.80ms
Total Cost: $0.10
Average Request Cost: $0.0484

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
10/9/2025	2	4135.04	3168.00ms	2146.80ms	$0.10

Performance Summary:

Model: claude-sonnet-4.5 by anthropic

Monitoring Period: 10/2/2025 to 10/9/2025

Average Daily Requests: 2

Peak Daily Requests: 2

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

4135.04 tokens/s

Category Scores

academia#5 finance#9 marketing#7 programming#5

Benchmark Tests

View Other Benchmarks

AA Coding Index

49.8

Programming

AAII

62.7

General

AA Math Index

88.0

Mathematics

GPQA

83.4

STEM (Physics, Chemistry, Biology)

HLE

17.3

General Knowledge

LiveCodeBench

71.4

Programming

MMLU-Pro

87.5

General Knowledge

SciCode

44.7

Scientific

Metric	AA Coding Index	AAII	AA Math Index	GPQA	HLE	LiveCodeBench	MMLU-Pro	SciCode
Score	49.8	62.7	88.0	83.4	17.3	71.4	87.5	44.7

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Code Examples

Integration samples and API usage

Code Samples for claude-sonnet-4.5

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-sonnet-4.5",
    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-sonnet-4.5",
    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-sonnet-4.5",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: claude-sonnet-4.5

Provider: anthropic

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

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Benchmark Tests

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claude-sonnet-4.5 by anthropic - AI Model Details, Pricing, and Performance Metrics

claude-sonnet-4.5

claude-sonnet-4.5

Access claude-sonnet-4.5 through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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