Context Window
262,144
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.2000
Output: $0.8800
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Qwen3 VL 235B A22B Instruct is designed for advanced natural language processing tasks, making it suitable for applications such as chatbots, content generation, and data analysis. With a context window of 262,144 tokens, teams can handle extensive inputs and maintain coherence over longer conversations or documents. The pricing structure, at $0.20 per million input tokens and $0.88 per million output tokens, allows teams to optimize costs based on their specific usage patterns while scaling their applications efficiently.
Context Window
262,144
Tokens
Input Price / 1M
$0.2000
Prompt tokens
Output Price / 1M
$0.8800
Completion tokens
Intelligence (MMLU)
82.3
Massive Multitask Language Understanding
Standardized evaluation scores for Qwen: Qwen3 VL 235B A22B Instruct.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.2000 |
| Output (Completion) | $0.8800 |
Price History
Current Input / 1M
$0.2000
Current Output / 1M
$0.8800
Estimate monthly spend for Qwen: Qwen3 VL 235B A22B Instruct based on your workload.
Estimated Monthly Cost
$16
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen3 VL 235B A22B Instruct.
Qwen: Qwen3 VL 235B A22B Instruct input pricing is $0.2000 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 VL 235B A22B Instruct output pricing is $0.8800 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 VL 235B A22B Instruct 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.