Context Window
262,144
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.0900
Output: $0.3000
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Qwen3 30B A3B Instruct 2507, developed by Qwen, offers a substantial context window of 262,144 tokens, making it ideal for applications requiring extensive data processing such as document summarization and complex dialogue systems. With an input cost of $0.09 per million tokens and an output cost of $0.30 per million tokens, teams can effectively manage their budgets while leveraging the model's advanced capabilities for tasks like content generation and interactive AI solutions. This pricing structure allows organizations to scale their usage based on specific project needs, ensuring cost-effectiveness in high-demand scenarios.
Context Window
262,144
Tokens
Input Price / 1M
$0.0900
Prompt tokens
Output Price / 1M
$0.3000
Completion tokens
Intelligence (MMLU)
72.5
Massive Multitask Language Understanding
Standardized evaluation scores for Qwen: Qwen3 30B A3B Instruct 2507.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0900 |
| Output (Completion) | $0.3000 |
Price History
Current Input / 1M
$0.0900
Current Output / 1M
$0.3000
Estimate monthly spend for Qwen: Qwen3 30B A3B Instruct 2507 based on your workload.
Estimated Monthly Cost
$5.85
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen3 30B A3B Instruct 2507.
Qwen: Qwen3 30B A3B Instruct 2507 input pricing is $0.0900 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 30B A3B Instruct 2507 output pricing is $0.3000 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 30B A3B Instruct 2507 supports a context window of 262,144 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.