Qwen: Qwen-Turbo

Public pricingIntelligence 79/100Medium memoryГлубокое рассуждениеРабота с инструментами

Qwen: Qwen-Turbo — это текстовой‑модель для общение, анализ и продакшн-задачи. Она сочетает низкую задержку и эффективную инференцию, контекст 131K tokens и профиль недорогой, обеспечивая надёжную работу в задачах general chat, analysis, and production workloads.

Input

$0.03/1M

Output

$0.13/1M

Cached

$0.01/1M

Batch

$0.03/1M

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What would Qwen-Turbo cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Qwen-Turbo at a glance.

Memory

131,072

tokens

Max reply

8,192

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen

Released

Apr 2025

Training cutoff

Sep 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Qwen-Turbo

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Qwen-Turbo — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen-Turbo costs roughly $8 per month. Input is $0.03 /1M tokens and output is $0.13 /1M tokens.
Qwen-Turbo has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Qwen-Turbo supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen-Turbo was released in April 2025, with training data cut off around September 2024.
Models in a similar class include Qwen3 8B, Qwen3 14B, Qwen3.5-Flash. The "Similar models" section below this FAQ links into each.

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