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Alibaba DAMO ↗Released November 28, 2024

QwQ 32B

Open Source32B parameters

QwQ 32B is Alibaba DAMO's entry in a crowded field. Context window: 0.032K tokens.

Context

32K

Input

Free (open)

Key Specifications

🏆

Arena Rank

Not disclosed

📐

Context Window

32K

📥

Input Price

per 1M tokens

Free (open)

📤

Output Price

per 1M tokens

Free (open)

🧠

Parameters

32B

🔓

Open Source

Yes

Best For

Reasoningmathlogical problem-solving

About QwQ 32B

QwQ 32B, developed by Alibaba DAMO Academy, is an open-source reasoning model with 32 billion parameters and a 32K token context window. The model uses chain-of-thought reasoning to solve complex mathematical, logical, and scientific problems through step-by-step deliberation. QwQ demonstrates that reasoning capabilities, previously exclusive to large proprietary models like OpenAI's o1, can be achieved in compact open-source form. It excels at competition-level mathematics, formal logic, and multi-step problem solving. Free and fully open-source, QwQ 32B can run on a single high-end GPU, making advanced reasoning accessible without massive infrastructure investments. The model represents Alibaba's entry into the reasoning model category and has been well-received by the research community for its efficient approach to deliberative AI.

Built byAlibaba DAMO↗

Pricing per 1M tokens

Input Tokens

Free (open)

Output Tokens

Free (open)

Compare QwQ 32B

See how QwQ 32B stacks up against other leading AI models

QwQ 32B vs Qwen 2.5 72BCompare →QwQ 32B vs Qwen 2.5 Coder 32BCompare →QwQ 32B vs Claude Opus 4Compare →QwQ 32B vs GPT-o3Compare →QwQ 32B vs GPT-4oCompare →

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Frequently Asked Questions

What is QwQ 32B?▾
QwQ 32B, developed by Alibaba DAMO Academy, is an open-source reasoning model with 32 billion parameters and a 32K token context window. The model uses chain-of-thought reasoning to solve complex mathematical, logical, and scientific problems through step-by-step deliberation. QwQ demonstrates that reasoning capabilities, previously exclusive to large proprietary models like OpenAI's o1, can be achieved in compact open-source form. It excels at competition-level mathematics, formal logic, and multi-step problem solving. Free and fully open-source, QwQ 32B can run on a single high-end GPU, making advanced reasoning accessible without massive infrastructure investments. The model represents Alibaba's entry into the reasoning model category and has been well-received by the research community for its efficient approach to deliberative AI.
How much does QwQ 32B cost?▾
Input pricing for QwQ 32B is Free (open) per million tokens; output runs Free (open). Token-based pricing means you can scale up or down without a fixed commitment.
What is QwQ 32B's context window?▾
The context window for QwQ 32B is 32K tokens. That's the maximum amount of text you can feed into a single prompt, including system instructions, conversation history, and the actual query.
Is QwQ 32B open source?▾
QwQ 32B is fully open source. You can grab the weights, run it on your own hardware, and fine-tune it for specific tasks. That flexibility is a big deal for teams with strict data requirements.
What is QwQ 32B best for?▾
The sweet spot for QwQ 32B is: Reasoning, math, logical problem-solving. If your workload fits one of these categories, it's worth benchmarking against alternatives.