Qwen3-32B-FP8 API Documentation 🦾

Qwen3-32B-FP8 is a medium-scale flagship Dense Transformer model optimized for elite-level performance and high-concurrency inference. Featuring 32.8 billion parameters, it delivers a generational leap in coding, mathematics, and complex instruction following.

This version utilizes fine-grained FP8 quantization, offering a near-lossless experience with significantly reduced VRAM requirements and up to 1.8x faster inference on modern GPU architectures (NVIDIA Hopper/Ada Lovelace) compared to BF16.

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Key Capabilities

• Deep Reasoning: Integrated Native Thinking Mode for solving high-level mathematical and logical problems.
• Enterprise-Grade Context: Natively supports a 128,000 token (128K) context window, perfect for long-form document analysis.
• Instruction Precision: Highly responsive to complex system prompts and multi-step constraints.
• Quantization Mastery: Optimized with activation-aware scaling to minimize perplexity loss in 8-bit precision.

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Technical Specifications

• Architecture: Dense Transformer (Non-MoE).
• Quantization: FP8 (Fine-grained).
• Context Window: 128,000 Tokens.
• Minimum VRAM (Weights Only): ~32.8 GB.
• Recommended VRAM (for 128K Context): 48 GB+ (e.g., A6000, A100 80GB, or RTX 6000 Ada).

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Request Parameters (/v1/chat/completions)

Parameter	Type	Required	Description
model	string	Yes	Use "Qwen/Qwen3-32B-FP8".
messages	array	Yes	Chat message objects (role & content).
enable_thinking	boolean	No	Default: true. Enables the <think> reasoning block.
max_tokens	integer	No	Max output tokens. Supports the 128K context window.
temperature	float	No	Randomness (0.0 - 2.0). Default: 0.7.
top_p	float	No	Nucleus sampling threshold. Default: 0.95.
stream	boolean	No	Enables real-time token streaming via SSE.

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Optimization Scenarios

Scenario	Recommended Params	Purpose
Complex Reasoning	enable_thinking: true, temp: 0.2	Best for math, coding, and logical troubleshooting.
Long Doc Synthesis	temperature: 0.3, max_tokens: 4096	High accuracy for extracting insights from massive datasets.
Creative Ideation	temperature: 0.85, presence_penalty: 0.2	Boosts linguistic variety for marketing or storytelling.
Structured Data	temperature: 0.0, top_p: 1.0	Forces deterministic output for JSON/XML parsing.