Qwen3 Vl 32b Thinking
Qwen3 Vl 32b Thinking is available via Dashscope with a 131K context window and up to 32,768 output tokens. Pricing: $0.1600/1M input tokens, $2.87/1M output tokens.
Qwen3 Vl 32b Thinking Pricing & Specifications
What is Qwen3 Vl 32b Thinking?
Qwen3 Vl 32b Thinking is a large language model by Dashscope with a 131K context window and up to 32,768 output tokens. It costs $0.16 per 1M input tokens and $2.87 per 1M output tokens. Qwen3 Vl 32b Thinking is available via Dashscope with a 131K context window and up to 32,768 output tokens. Pricing: $0.1600/1M input tokens, $2.87/1M output tokens.
Capabilities
text vision function calling reasoning
Qwen3 Vl 32b Thinking Cost Examples
Short prompt (500 tokens)
$0.000080
Medium prompt (2K tokens)
$0.00032
Long output (4K tokens)
$0.01148
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Frequently Asked Questions
How much does Qwen3 Vl 32b Thinking cost per token? +
Qwen3 Vl 32b Thinking costs $0.16 per 1M input tokens and $2.87 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.001595.
What is the context window for Qwen3 Vl 32b Thinking? +
Qwen3 Vl 32b 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 32b Thinking? +
Qwen3 Vl 32b 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 32b Thinking good for coding tasks? +
Yes, Qwen3 Vl 32b Thinking supports capabilities well-suited for coding tasks including code generation, debugging, and refactoring.