Activereasoningllm Open Source

Qwen3 30B

by Alibaba· Released May 2025· Cutoff April 2025

Qwen3 30B is a 30-billion-parameter large language model from Alibaba's Qwen3 series, designed for efficient reasoning and general-purpose tasks. It supports extended context lengths and is available as an open-weight model, balancing performance with computational efficiency.

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

131072 tokens

Max output

8192 tokens

Modalities

text

Parameters

30B

License

Apache-2.0

Capabilities

Function CallingCode GenerationStreamingJSON ModeReasoningMultilingual Support

Best For

Efficient reasoning and general-purpose language tasks with a balance of performance and resource requirements.

Strengths

Strong reasoning capabilities for its size
Supports extended context up to 128K tokens
Open-weight model allows customization and fine-tuning
Efficient inference compared to larger models

Limitations

Smaller parameter count may limit performance on complex tasks compared to larger models
No native vision or multimodal support
May require careful prompt engineering for optimal results
Limited ecosystem compared to more widely adopted models

Use Cases

Chatbots and virtual assistants

Code generation and debugging

Content creation and summarization

Data analysis and extraction

Educational tutoring and Q&A

Multilingual translation and communication

Reasoning and problem-solving tasks

Improvements Over Previous Model

Introduced as a new model in the Qwen3 family, offering a 30B parameter option for efficient reasoning
Supports extended context window of 128K tokens, matching larger siblings
Improved reasoning capabilities over previous Qwen2.5 models of similar size
Open-source under Apache-2.0 license, enabling broader community use
Optimized for inference efficiency with lower computational requirements

Back to all models

Activereasoningllm Open Source

Qwen3 30B

by Alibaba· Released May 2025· Cutoff April 2025

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

131072 tokens

Max output

8192 tokens

Modalities

text

Parameters

30B

License

Apache-2.0

Capabilities

Function CallingCode GenerationStreamingJSON ModeReasoningMultilingual Support

Best For

Efficient reasoning and general-purpose language tasks with a balance of performance and resource requirements.

Strengths

Strong reasoning capabilities for its size
Supports extended context up to 128K tokens
Open-weight model allows customization and fine-tuning
Efficient inference compared to larger models

Limitations

Smaller parameter count may limit performance on complex tasks compared to larger models
No native vision or multimodal support
May require careful prompt engineering for optimal results
Limited ecosystem compared to more widely adopted models

Use Cases

Chatbots and virtual assistants

Code generation and debugging

Content creation and summarization

Data analysis and extraction

Educational tutoring and Q&A

Multilingual translation and communication

Reasoning and problem-solving tasks

Improvements Over Previous Model

Introduced as a new model in the Qwen3 family, offering a 30B parameter option for efficient reasoning
Supports extended context window of 128K tokens, matching larger siblings
Improved reasoning capabilities over previous Qwen2.5 models of similar size
Open-source under Apache-2.0 license, enabling broader community use
Optimized for inference efficiency with lower computational requirements

Back to all models