Context Window
32,768
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Qwen2.5-VL 7B Instruct is designed for applications requiring advanced natural language understanding and generation, making it suitable for chatbots, content creation, and data analysis. With a context window of 32,768 tokens, this model can handle extensive conversations and complex documents, providing teams with the ability to maintain context over long interactions. At a competitive pricing of $0.20 per million tokens for both input and output, organizations can effectively manage costs while leveraging the model's capabilities for scalable AI solutions.
Context Window
32,768
Tokens
Input Price / 1M
$0.2000
Prompt tokens
Output Price / 1M
$0.2000
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.2000 |
| Output (Completion) | $0.2000 |
Price History
Current Input / 1M
$0.2000
Current Output / 1M
$0.2000
Estimate monthly spend for Qwen: Qwen2.5-VL 7B Instruct based on your workload.
Estimated Monthly Cost
$7.40
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen2.5-VL 7B Instruct.
Qwen: Qwen2.5-VL 7B Instruct input pricing is $0.2000 per 1M tokens based on the latest synced provider data.
Qwen: Qwen2.5-VL 7B Instruct output pricing is $0.2000 per 1M tokens based on the latest synced provider data.
Qwen: Qwen2.5-VL 7B Instruct supports a context window of 32,768 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.