Qwen3-32B

Preview

qwen/qwen3-32b

Try it in Playground

TOKEN SPEED

~400 TPS

Powered bygroq

INPUT

Text

OUTPUT

Text

CAPABILITIES

Tool Use, JSON Object Mode, Reasoning

Alibaba Cloud

Model card

Qwen 3 32B is the latest generation of large language models in the Qwen series, offering groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support. It uniquely supports seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue) within a single model. The model excels in human preference alignment, creative writing, role-playing, and multi-turn dialogues, while supporting 100+ languages and dialects.

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PRICING

Input

$0.29

3.4M / $1

Output

$0.59

1.7M / $1

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LIMITS

CONTEXT WINDOW

131,072

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MAX OUTPUT TOKENS

40,960

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QUANTIZATION

This uses Groq's TruePoint Numerics, which reduces precision only in areas that don't affect accuracy, preserving quality while delivering significant speedup over traditional approaches. Learn more here.

Key Technical Specifications

Best Practices

• Mode Selection: Use thinking mode (reasoning_effort="default") for complex reasoning with temperature=0.6, top_p=0.95, top_k=20, and min_p=0
• Non-thinking Mode: For general dialogue, use temperature=0.7, top_p=0.8, top_k=20, and min_p=0
• Math Problems: Include 'Please reason step by step, and put your final answer within \boxed{}' in the prompt
• Multiple-Choice: Add the following JSON structure to the prompt to standardize responses: "Please show your choice in the answer field with only the choice letter, e.g., "answer": "C"."
• History Management: In multi-turn conversations, only include final outputs without thinking content
• Reasoning format: Set reasoning_format to hidden to only return the final answer, or parsed to include the reasoning in a separate field

Get Started with Qwen 3 32B

Experience state-of-the-art language understanding and generation with Qwen 3 32B with Groq speed:

pip install groq

from groq import Groq
client = Groq()
completion = client.chat.completions.create(
    model="qwen/qwen3-32b",
    messages=[
        {
            "role": "user",
            "content": "Explain why fast inference is critical for reasoning models"
        }
    ]
)
print(completion.choices[0].message.content)