Context Window
131,072
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.1300
Output: $0.5200
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Qwen3 VL 30B A3B Instruct, developed by Qwen, offers a substantial context window of 131,072 tokens, making it suitable for applications requiring extensive text analysis or generation, such as legal document review or long-form content creation. With an input price of $0.13 per million tokens and an output price of $0.52 per million tokens, teams can effectively manage costs while leveraging the model's capabilities for complex tasks. This model is particularly advantageous for organizations needing to process large datasets or engage in detailed conversational AI applications, ensuring both efficiency and scalability.
Context Window
131,072
Tokens
Input Price / 1M
$0.1300
Prompt tokens
Output Price / 1M
$0.5200
Completion tokens
Intelligence (MMLU)
76.4
Massive Multitask Language Understanding
Standardized evaluation scores for Qwen: Qwen3 VL 30B A3B Instruct.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.1300 |
| Output (Completion) | $0.5200 |
Price History
Current Input / 1M
$0.1300
Current Output / 1M
$0.5200
Estimate monthly spend for Qwen: Qwen3 VL 30B A3B Instruct based on your workload.
Estimated Monthly Cost
$9.49
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen3 VL 30B A3B Instruct.
Qwen: Qwen3 VL 30B A3B Instruct input pricing is $0.1300 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 VL 30B A3B Instruct output pricing is $0.5200 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 VL 30B A3B Instruct supports a context window of 131,072 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.