Qwen QwQ-32B
Open weightsQwen QwQ-32B is a language model from Qwen with a 128K-token context window. Provider list price is $1.20 per million input tokens and $1.20 per million output; on Allocate you pay $1.28 and $1.28 with the 7% transaction fee. The weights are open under Qwen license, so you can fine-tune it and own the result.
Pricing
Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.
Price against its peers
Provider list prices per M tokens, Qwen QwQ-32B against its nearest language peers by price.
What a real workload costs
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $1.20 + 350 × $1.20 = $1,860 a month. Billed on Allocate it is $1,990 with the 7% transaction fee.
Qwen QwQ-32B is an open-weights model under the Qwen license license. Read the license terms once before you build on it; fine-tuned weights on Allocate stay inside your boundary.
Example usage
Point a route at qwen/qwq-32b and the endpoint never changes; swap the model behind it whenever you want.
curl https://api.allocate.network/v1/chat/completions \ -H "Authorization: Bearer $ALLOCATE_KEY" \ -d '{ "model": "qwen/qwq-32b", "messages": [{"role": "user", "content": "Summarise the attached contract."}] }'
Common questions
How much does Qwen QwQ-32B cost per million tokens?
Provider list price is $1.20 per million input tokens and $1.20 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $1.28 in and $1.28 out.
What context window does Qwen QwQ-32B have?
131,072 tokens (128K). At roughly 0.75 words per token, that is about 98k words of English text per request.
Can I fine-tune Qwen QwQ-32B?
Yes. Qwen QwQ-32B is an open-weights model under the Qwen license license. Read the license terms before fine-tuning for commercial use. On Allocate the trained weights stay inside your boundary and belong to you.
How do I call Qwen QwQ-32B on Allocate?
Send qwen/qwq-32b in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.