Context Window
131,072
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.4550
Output: $1.82
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Qwen3 235B A22B, developed by Qwen, offers a substantial context window of 131,072 tokens, making it ideal for applications requiring extensive text comprehension and generation, such as legal document analysis and long-form content creation. With an input price of $0.45 per million tokens and an output price of $1.82 per million tokens, teams can effectively budget for projects that demand high-volume data processing and nuanced language understanding. This model's pricing structure allows for scalable usage, catering to both small teams and larger enterprises looking to leverage advanced AI capabilities without incurring prohibitive costs.
Context Window
131,072
Tokens
Input Price / 1M
$0.4550
Prompt tokens
Output Price / 1M
$1.82
Completion tokens
Intelligence (MMLU)
76.2
Massive Multitask Language Understanding
Standardized evaluation scores for Qwen: Qwen3 235B A22B.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.4550 |
| Output (Completion) | $1.82 |
Price History
Current Input / 1M
$0.4550
Current Output / 1M
$1.82
Estimate monthly spend for Qwen: Qwen3 235B A22B based on your workload.
Estimated Monthly Cost
$33
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen3 235B A22B.
Qwen: Qwen3 235B A22B input pricing is $0.4550 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 235B A22B output pricing is $1.82 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 235B A22B 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.