Qwen3 Vl 235b A22b Thinking
Qwen3 Vl 235b A22b Thinking is available via Dashscope with a 131K context window and up to 32,768 output tokens. Pricing: $0.4000/1M input tokens, $4.00/1M output tokens.
Qwen3 Vl 235b A22b Thinking Pricing & Specifications
What is Qwen3 Vl 235b A22b Thinking?
Qwen3 Vl 235b A22b Thinking is a large language model by Dashscope with a 131K context window and up to 32,768 output tokens. It costs $0.40 per 1M input tokens and $4.00 per 1M output tokens. Qwen3 Vl 235b A22b Thinking is available via Dashscope with a 131K context window and up to 32,768 output tokens. Pricing: $0.4000/1M input tokens, $4.00/1M output tokens.
Capabilities
text vision function calling reasoning
Qwen3 Vl 235b A22b Thinking Cost Examples
Short prompt (500 tokens)
$0.000200
Medium prompt (2K tokens)
$0.00080
Long output (4K tokens)
$0.01600
Count tokens for Qwen3 Vl 235b A22b Thinking
Paste your prompt to see exact token counts and API cost estimates.
Open Token CounterSimilar Models to Qwen3 Vl 235b A22b Thinking
Frequently Asked Questions
How much does Qwen3 Vl 235b A22b Thinking cost per token? +
Qwen3 Vl 235b A22b Thinking costs $0.40 per 1M input tokens and $4.00 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.002400.
What is the context window for Qwen3 Vl 235b A22b Thinking? +
Qwen3 Vl 235b A22b Thinking supports a context window of 131,072 tokens (131K). This determines the maximum combined length of your prompt and conversation history in a single API call.
What is the maximum output length for Qwen3 Vl 235b A22b Thinking? +
Qwen3 Vl 235b A22b Thinking can generate up to 32,768 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Qwen3 Vl 235b A22b Thinking good for coding tasks? +
Yes, Qwen3 Vl 235b A22b Thinking supports capabilities well-suited for coding tasks including code generation, debugging, and refactoring.