Context Window
40,960
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.0800
Output: $0.2400
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Qwen3 32B, developed by qwen, is designed for applications requiring extensive context management, featuring a context window of 40,960 tokens, making it suitable for complex tasks such as document summarization and conversational AI. With an input price of $0.08 per million tokens and an output price of $0.24 per million tokens, teams can effectively budget for large-scale projects while leveraging the model's capabilities for high-volume data processing. This pricing structure allows organizations to optimize their costs based on usage patterns, ensuring efficient resource allocation for API integrations.
Context Window
40,960
Tokens
Input Price / 1M
$0.0800
Prompt tokens
Output Price / 1M
$0.2400
Completion tokens
Intelligence (MMLU)
72.7
Massive Multitask Language Understanding
Standardized evaluation scores for Qwen: Qwen3 32B.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0800 |
| Output (Completion) | $0.2400 |
Price History
Current Input / 1M
$0.0800
Current Output / 1M
$0.2400
Estimate monthly spend for Qwen: Qwen3 32B based on your workload.
Estimated Monthly Cost
$4.88
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen3 32B.
Qwen: Qwen3 32B input pricing is $0.0800 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 32B output pricing is $0.2400 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 32B supports a context window of 40,960 tokens.
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.