Qwen: Qwen-Turbo
Analysis Summary
Qwen-Turbo is a text model with a 131,072-token context window, tool use, and function calling. It is priced at $0.0325 per million input tokens and $0.13 per million output tokens, making it suitable for economical, high-volume calls. Its supplied intelligence index is 6, and no coding, instruction-following, or agentic benchmark results are available.
The model can serve routine classification, metadata generation, content transformation, and simple API-connected SEO workflows. Long context is useful for feeding detailed templates or document collections, but it does not establish strong reasoning or editorial judgement. Function calling should be constrained by validation and fallback logic. Route repetitive, reviewable traffic to Qwen-Turbo when cost is the primary concern, while reserving more capable models for strategy, complex analysis, and final client-facing copy.
Assessed August 9, 2026
Editorial notes
Qwen-Turbo is a low-cost, 131K-context model with tool use and function calling, suited to high-volume structured tasks; its measured intelligence is limited, so complex reasoning and nuanced copy need review.
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DFO Verdict
Qwen-Turbo is a low-cost, 131K-context model with tool use and function calling, suited to high-volume structured tasks; its measured intelligence is limited, so complex reasoning and nuanced copy need review.
How Qwen: Qwen-Turbo compares
Qwen: Qwen-Turbo ranks #339 of 420 AI models we track for overall intelligence. Its 131K-token context window is larger than 51% of the models we list. At $0.03 per million input tokens it is cheaper than 77% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000033 |
| Output | $0.13 | $0.000130 |
What would Qwen: Qwen-Turbo cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen-Turbo for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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.
Frequently asked questions about Qwen: Qwen-Turbo
How much does Qwen: Qwen-Turbo cost?
Qwen: Qwen-Turbo costs $0.03 per million input tokens and $0.13 per million output tokens.
What is the context window of Qwen: Qwen-Turbo?
Qwen: Qwen-Turbo has a context window of 131,072 tokens (131K).
What can Qwen: Qwen-Turbo do?
Qwen: Qwen-Turbo supports tool use and function calling.
Who created Qwen: Qwen-Turbo?
Qwen: Qwen-Turbo is developed by Qwen and was released on February 1, 2025.
