Qwen3 32B

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for tasks like math, coding, and logical inference, and a "non-thinking" mode for faster, general-purpose conversation. The model demonstrates strong performance in instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling.

ChatQwen131k tokens$0.0872 / $0.3052 · 1M

qwen/qwen3-32b

Context
131k tokens
Completion cap
16,384
Tools
Yes
JSON
Yes
Released
2025-04-28

Call it from Geek Hub

Same OpenAI SDK. Change the base URL and the model id.

curl https://api.geekhub.mx/v1/chat/completions \
  -H "Authorization: Bearer $GEEKHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-32b",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Get an API key

Frequently asked questions

What is Qwen3 32B?
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for tasks like math, coding, and logical inference, and a "non-thinking" mode for faster, general-purpose conversation. The model demonstrates strong performance in instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling. Qwen3 32B runs on the Geek Hub API (OpenAI-compatible). Model id: qwen/qwen3-32b.
Is Qwen3 32B free?
No. Input is $0.0872 per 1M tokens and output is $0.3052 per 1M tokens on Geek Hub (markup included).
What is the context length of Qwen3 32B?
Qwen3 32B has a 131k tokens context window. It supports up to 16,384 completion tokens.
Does Qwen3 32B support tool calling and structured outputs?
Qwen3 32B accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
When was Qwen3 32B released?
Qwen3 32B was released on 2025-04-28.

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