Context Window
262,144
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.1100
Output: $0.6000
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Qwen3 235B A22B Thinking 2507, developed by qwen, offers a substantial context window of 131,072 tokens, making it suitable for complex applications such as long-form content generation and large-scale data analysis. With a pricing structure that charges $0.00 per million tokens for both input and output, this model is particularly advantageous for teams looking to scale their operations without incurring significant costs. Its unique capabilities allow for effective handling of extensive datasets, making it ideal for industries requiring deep insights from large volumes of text.
Context Window
262,144
Tokens
Input Price / 1M
$0.1100
Prompt tokens
Output Price / 1M
$0.6000
Completion tokens
Intelligence (MMLU)
84.3
Massive Multitask Language Understanding
Standardized evaluation scores for Qwen: Qwen3 235B A22B Thinking 2507.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.1100 |
| Output (Completion) | $0.6000 |
Price History
Current Input / 1M
$0.1100
Current Output / 1M
$0.6000
Estimate monthly spend for Qwen: Qwen3 235B A22B Thinking 2507 based on your workload.
Estimated Monthly Cost
$9.95
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen3 235B A22B Thinking 2507.
Qwen: Qwen3 235B A22B Thinking 2507 input pricing is $0.1100 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 235B A22B Thinking 2507 output pricing is $0.6000 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 235B A22B Thinking 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.