Atlas / Models / Qwen / Qwen: Qwen-Turbo

Qwen: Qwen-Turbo✓ Catalog verified

qwen/qwen-turbo

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

Input price
$0.03 /1M
Output price
$0.13 /1M
Context
131K
Modalities
text
Released
Feb 1, 2025
Tool calling
✓ Yes
Atlas signal
81/100
01

Overview

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

Access: available through the official Qwen API. Context window: 131K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierqwen/qwen-turbo
ProviderQwen
Model typeText LLM
Context window131K catalog
Input modalitiestext
Output modalitiestext
ReleasedFeb 1, 2025
TokenizerQwen
ModeratedNo
Architecture modalitytext->text
Supported parameters
max_tokenspresence_penaltyresponse_formatseedtemperaturetool_choicetoolstop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for qwen/qwen-turbo as published in the catalog.

$0.03
Input /1M
$0.13
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$3.25e-8$0.03 / 1MPer input token
Completion tokens$1.3e-7$0.13 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.04Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-Hosting✓ SupportedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Qwen: Qwen-Turbo
MMLU Signal (Reasoning)
79signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
79signal
Science Signal (GPQA proxy)
79signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Qwen: Qwen-Turbo through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="qwen/qwen-turbo",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
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Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Qwen: Qwen-Turbo cost?

$0.03 per 1M input tokens and $0.13 per 1M output tokens on the official Qwen API.

What is the context window of Qwen: Qwen-Turbo?

Qwen: Qwen-Turbo supports up to 131K tokens of context.

Does Qwen: Qwen-Turbo support tool / function calling?

Yes, Qwen: Qwen-Turbo supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Qwen: Qwen-Turbo?

Use the official Qwen API with the model id `qwen/qwen-turbo`. See the Quick start section above for code examples.