LightweightAlibaba

Qwen 3 8B

Qwen 3 8B is Alibaba's lightweight text model with a 40K token context window, designed for high-throughput applications requiring fast inference.

Context 41K
Tier Lightweight
Input from
$0.050 / 1M tokens
across 1 provider

API Pricing

ProviderInput / 1MOutput / 1MSpeedTTFTUpdated
$0.050$0.40078.8 t/s949ms4/14/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
Alibaba
Family
Qwen
Tier
Lightweight
Context Window
41K
Modalities
Text

Capabilities

Tool Calling
No
Open Source
No

Strengths & Limitations

  • Fast inference speed at 80.43 output tokens per second
  • 40,960 token context window for substantial document processing
  • Lightweight 8B parameter design reduces computational requirements
  • Time-to-first-token of 942ms enables responsive applications
  • Part of established Qwen model family with proven performance
  • Text-focused architecture optimized for core language tasks
  • No tool calling or function execution capabilities
  • Text-only modality without image or multimodal support
  • Proprietary model with no open-source weights available
  • Lightweight tier may have reduced reasoning capabilities compared to larger models
  • Smaller parameter count than flagship alternatives

Key Features

40,960 token context window
Text generation and completion
80.43 tokens per second output speed
942ms time-to-first-token latency
8-billion parameter architecture
Streaming response support
Document-length text processing

About Qwen 3 8B

Qwen 3 8B is a lightweight text generation model developed by Alibaba as part of the Qwen family. Positioned as an efficient option within the Qwen lineup, this 8-billion parameter model targets use cases where speed and throughput are prioritized over maximum capability. The model supports text-only interactions and features a 40,960 token context window, providing substantial context retention for document processing and extended conversations. Technically, Qwen 3 8B delivers competitive inference performance with benchmark speeds of 80.43 output tokens per second and a time-to-first-token of 942 milliseconds. The model focuses on core language understanding and generation tasks without additional modalities like vision or advanced features like tool calling. This streamlined design allows for faster processing and lower resource requirements compared to larger models in the family. Qwen 3 8B serves applications where rapid text processing is essential, such as content generation pipelines, customer service automation, and real-time chat systems. While it lacks the advanced reasoning capabilities of flagship models, its balanced performance profile makes it suitable for production environments requiring consistent throughput and reasonable quality output.

Common Use Cases

Qwen 3 8B is well-suited for high-volume text processing applications where speed and efficiency are paramount. Its fast inference capabilities make it ideal for real-time chat applications, content generation pipelines, and automated customer support systems. The 40K token context window enables effective document summarization, long-form content analysis, and extended conversation handling. Organizations requiring consistent throughput for text classification, simple content creation, or basic language understanding tasks will benefit from its balanced performance profile and lower computational overhead compared to larger models.

Frequently Asked Questions

How much does Qwen 3 8B cost per million tokens?

Qwen 3 8B pricing varies by provider and pricing type (standard vs batch). Check the pricing table above for current rates across all providers.

What is Qwen 3 8B best used for?

Qwen 3 8B excels at high-volume text processing tasks requiring fast inference, including real-time chat applications, content generation pipelines, document summarization, and customer service automation where speed and throughput are more important than advanced reasoning capabilities.

Does Qwen 3 8B support tool calling or function execution?

No, Qwen 3 8B does not support tool calling or function execution capabilities. It is focused on core text generation and understanding tasks, making it suitable for applications that need fast, straightforward language processing without external tool integration.