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qwen3-coder

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Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over repositories. The model features 480 billion total parameters, with 35 billion active per forward pass (8 out of 160 experts). Pricing for the Alibaba endpoints varies by context length. Once a request is greater than 128k input tokens, the higher pricing is used.

Input:$0.2 / 1M tokens
Output:$0.8 / 1M tokens
Context:262144 tokens
tools
text
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Category Rankings
programming#14

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Model Parameters
17 available
frequency_penalty
-202
logit_bias
logprobs
max_tokens
min_p
001
presence_penalty
-201.999
repetition_penalty
012
response_format
seed
stop
structured_outputs
temperature
012
tool_choice
tools
top_k
top_logprobs
top_p
011
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