qwen-turbo

completions

byopenrouter

qwen-turbo

completions

Published by: qwenProvider:

openrouter

Qwen-Turbo, based on Qwen2.5, is a 1M context model that provides fast speed and low cost, suitable for simple tasks.

Released

Nov 18, 2024

Knowledge

May 22, 2024

Context

Input

$0.05 / 1M tokens

Output

$0.2 / 1M tokens

Cached

$0.02 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Released Nov 18, 2024Knowledge Cutoff: May 22, 2024

Context: 1M Input: $0.05 / 1M tokensOutput: $0.2 / 1M tokensCached: $0.02 / 1M tokensCapabilities: toolsAccepts: textReturns: text

Access qwen-turbo through LangDB AI Gateway

Recommended

Integrate with qwen's qwen-turbo 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 qwen-turbo

Category Performance Scores:

Academia: Score 30.05 (Top 79% - Rank #265)
Marketing: Score 49.46 (Top 41% - Rank #138)
Science: Score 45.58 (Top 79% - Rank #265)
Writing: Score 44.79 (Top 49% - Rank #165)

Overall Performance: 42.47145833333334 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	12.00	Top 68%	Mathematics
AAII	19.10	Top 78%	General
GPQA	41.00	Top 79%	STEM (Physics, Chemistry, Biology)
HLE	4.20	Top 74%	General Knowledge
LiveCodeBench	16.30	Top 80%	Programming
MATH-500	80.50	Top 56%	Mathematics
MMLU-Pro	63.30	Top 76%	General Knowledge
SciCode	15.30	Top 87%	Scientific

GPQA Score: 41.00 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 1000000 tokens

Comparing against 335 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

AIME

12.0

Mathematics

AAII

19.1

General

GPQA

41.0

STEM (Physics, Chemistry, Biology)

HLE

4.2

General Knowledge

LiveCodeBench

16.3

Programming

MATH-500

80.5

Mathematics

MMLU-Pro

63.3

General Knowledge

SciCode

15.3

Scientific

Metric	AIME	AAII	GPQA	HLE	LiveCodeBench	MATH-500	MMLU-Pro	SciCode
Score	12.0	19.1	41.0	4.2	16.3	80.5	63.3	15.3

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Code Examples

Integration samples and API usage

Code Samples for qwen-turbo

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="qwen-turbo",
    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: "qwen-turbo",
    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": "qwen-turbo",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: qwen-turbo

Provider: openrouter

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

Create API Key

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qwen-turbo by openrouter - AI Model Details, Pricing, and Performance Metrics

qwen-turbo

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Access qwen-turbo through LangDB AI Gateway

Category Scores

Benchmark Tests

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Code Examples

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