claude-opus-4.1

completions

byanthropic

claude-opus-4.1

completions

Published by: anthropicProvider:

anthropic

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains in multi-file code refactoring, debugging precision, and detail-oriented reasoning. The model supports extended thinking up to 64K tokens and is optimized for tasks involving research, data analysis, and tool-assisted reasoning.

Released

May 22, 2025

Knowledge

Mar 1, 2025

License

Proprietary

Context

200K

Input

$15 / 1M tokens

Output

$75 / 1M tokens

Cached

$1.5 / 1M tokens

Cached Write

$18.75 / 1M tokens

Capabilities: tools

Accepts: text, image

Returns: text

Released May 22, 2025Knowledge Cutoff: Mar 1, 2025License: Proprietary

Context: 200K Input: $15 / 1M tokensOutput: $75 / 1M tokensCached: $1.5 / 1M tokensCached Write: $18.75 / 1M tokensCapabilities: toolsAccepts: text, imageReturns: text

Access claude-opus-4.1 through LangDB AI Gateway

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Integrate with anthropic's claude-opus-4.1 and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

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99.9% Uptime

10,000+Monthly Requests

Benchmark Results for claude-opus-4.1

Category Performance Scores:

Maths: Score 80.30 (Top 22% - Rank #71)
Finance: Score 69.80 (Top 19% - Rank #61)
Science: Score 75.99 (Top 11% - Rank #36)
Writing: Score 65.75 (Top 12% - Rank #39)
Academia: Score 70.10 (Top 8% - Rank #26)
Marketing: Score 68.48 (Top 7% - Rank #23)
Programming: Score 46.10 (Top 16% - Rank #52)

Overall Performance: 68.07563492063493 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	11.90	Top 18%	General Knowledge
GPQA	80.90	Top 15%	STEM (Physics, Chemistry, Biology)
SciCode	40.90	Top 9%	Scientific
MMLU-Pro	88.00	Top 1%	General Knowledge
LiveCodeBench	65.40	Top 27%	Programming
AA Math Index	80.30	Top 22%	Mathematics
AA Coding Index	46.10	Top 16%	Programming
AAII	59.30	Top 11%	General

GPQA Score: 80.90 - Graduate-level reasoning benchmark

Model Comparison:

Provider: anthropic

Model Type: completions

Context Size: 200000 tokens

Comparing against 320 models in the database

Performance Analytics for claude-opus-4.1

Usage Statistics (Last 2 Days):

Total Requests: 17 API calls
Average TPS: 335.41 tokens per second
Average Response Time: 46956.50ms
Average Time to First Token: 3532.90ms
Total Cost: $6.70
Average Request Cost: $0.3944

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
11/14/2025	16	335.60	49862.50ms	3725.00ms	$6.70
11/17/2025	1	0.00	460.40ms	460.40ms	$0.00

Performance Summary:

Model: claude-opus-4.1 by anthropic

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

Average Daily Requests: 9

Peak Daily Requests: 16

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

335.41 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

11.9

General Knowledge

GPQA

80.9

STEM (Physics, Chemistry, Biology)

SciCode

40.9

Scientific

MMLU-Pro

88.0

General Knowledge

LiveCodeBench

65.4

Programming

AA Math Index

80.3

Mathematics

AA Coding Index

46.1

Programming

AAII

59.3

General

Metric	HLE	GPQA	SciCode	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	11.9	80.9	40.9	88.0	65.4	80.3	46.1	59.3

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Code Examples

Integration samples and API usage

Code Samples for claude-opus-4.1

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-opus-4.1",
    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-opus-4.1",
    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-opus-4.1",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: claude-opus-4.1

Provider: anthropic

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

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claude-opus-4.1 by anthropic - AI Model Details, Pricing, and Performance Metrics

claude-opus-4.1

claude-opus-4.1

Access claude-opus-4.1 through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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