Context Window
262,144
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.0710
Output: $0.1000
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Qwen3 235B A22B Instruct 2507, developed by Qwen, is designed for complex tasks requiring extensive context, making it ideal for applications in natural language understanding, content generation, and conversational AI. With a context window of 262,144 tokens, teams can leverage this model for projects that demand deep contextual awareness, such as long-form content creation or detailed dialogue systems. The pricing structure, at $0.07 per 1M tokens for input and $0.10 per 1M tokens for output, allows organizations to budget effectively based on their usage patterns and expected workload.
Context Window
262,144
Tokens
Input Price / 1M
$0.0710
Prompt tokens
Output Price / 1M
$0.1000
Completion tokens
Intelligence (MMLU)
82.8
Massive Multitask Language Understanding
Standardized evaluation scores for Qwen: Qwen3 235B A22B Instruct 2507.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0710 |
| Output (Completion) | $0.1000 |
Price History
Current Input / 1M
$0.0710
Current Output / 1M
$0.1000
Estimate monthly spend for Qwen: Qwen3 235B A22B Instruct 2507 based on your workload.
Estimated Monthly Cost
$2.97
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen3 235B A22B Instruct 2507.
Qwen: Qwen3 235B A22B Instruct 2507 input pricing is $0.0710 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 235B A22B Instruct 2507 output pricing is $0.1000 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 235B A22B 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.