Context Window
262,144
Tokens
Model Cost Profile
Qwen: Qwen3.5-27B
Developer: qwen
Pricing updated Mar 11, 2026
Input rank: #129Output rank: #204
Qwen3.5-27B, developed by Qwen, offers a substantial context window of 262,144 tokens, making it suitable for applications requiring extensive data processing, such as legal document analysis or large-scale content generation. With an input price of $0.20 per million tokens and an output price of $1.56 per million tokens, teams can effectively budget for projects that demand high-volume interactions while maintaining cost efficiency. This model is particularly advantageous for organizations needing to handle complex queries or generate detailed responses across diverse industries.
👁 Vision🔧 Tool Calling📋 Structured Output🧠 Reasoning
Input Price / 1M
$0.1950
Prompt tokens
Output Price / 1M
$1.56
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.1950 |
| Output (Completion) | $1.56 |
Price History
Qwen: Qwen3.5-27B Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$0.1950
Current Output / 1M
$1.56
Cost Calculator
Estimate monthly spend for Qwen: Qwen3.5-27B based on your workload.
01.0B
0500M
Estimated Monthly Cost
$24
25M input + 12M output tokens
Cheaper Alternatives to Compare
Quick links for cost-down decisions before production rollout.
FAQ
Common pricing and benchmark questions for Qwen: Qwen3.5-27B.
How much does Qwen: Qwen3.5-27B cost per 1M input tokens?
Qwen: Qwen3.5-27B input pricing is $0.1950 per 1M tokens based on the latest synced provider data.
How much does Qwen: Qwen3.5-27B cost per 1M output tokens?
Qwen: Qwen3.5-27B output pricing is $1.56 per 1M tokens based on the latest synced provider data.
What context window does Qwen: Qwen3.5-27B support?
Qwen: Qwen3.5-27B supports a context window of 262,144 tokens.
How can I compare Qwen: Qwen3.5-27B with cheaper alternatives?
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.