Context Window
32,768
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.0510
Output: $0.3400
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Qwen3 30B A3B Thinking 2507, developed by qwen, offers a substantial context window of 32,768 tokens, making it suitable for complex tasks such as long-form content generation and detailed data analysis. With an input price of $0.05 per million tokens and an output price of $0.34 per million tokens, teams can effectively manage costs while leveraging its capabilities for applications in customer support automation and advanced natural language processing. This model's extensive context size allows for improved understanding of nuanced queries, enhancing user experience in interactive AI solutions.
Context Window
32,768
Tokens
Input Price / 1M
$0.0510
Prompt tokens
Output Price / 1M
$0.3400
Completion tokens
Intelligence (MMLU)
80.5
Massive Multitask Language Understanding
Standardized evaluation scores for Qwen: Qwen3 30B A3B Thinking 2507.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0510 |
| Output (Completion) | $0.3400 |
Price History
Current Input / 1M
$0.0510
Current Output / 1M
$0.3400
Estimate monthly spend for Qwen: Qwen3 30B A3B Thinking 2507 based on your workload.
Estimated Monthly Cost
$5.36
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen3 30B A3B Thinking 2507.
Qwen: Qwen3 30B A3B Thinking 2507 input pricing is $0.0510 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 30B A3B Thinking 2507 output pricing is $0.3400 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 30B A3B Thinking 2507 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.