Activereasoningllm Open Source

Qwen3 14B

by Alibaba· Released May 2025· Cutoff April 2025

Qwen3 14B is a mid-sized reasoning model in the Qwen3 family, balancing strong performance with efficiency. It supports extended thinking (chain-of-thought) and is optimized for complex reasoning tasks while being deployable on consumer hardware.

Official Site API Docs 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32K tokens

Max output

8192 tokens

Modalities

text

Parameters

14B

License

Apache-2.0

Capabilities

ReasoningCode GenerationFunction CallingStreamingJSON ModeMultilingual

Best For

Complex reasoning and coding tasks requiring deep thought, deployable on local hardware.

Strengths

Strong reasoning capabilities with extended thinking mode
Efficient 14B parameter size for local deployment
Competitive performance on math and coding benchmarks
Multilingual support including English and Chinese

Limitations

Smaller context window (32K) compared to larger Qwen3 models
No native vision or multimodal support
May underperform larger models on very complex tasks
Limited to text-only input

Use Cases

Complex mathematical problem solving

Code generation and debugging

Logical reasoning and analysis

Educational tutoring and explanation

Document summarization and question answering

Chatbots requiring deep reasoning

Local AI assistant on consumer hardware

Improvements Over Previous Model

Introduced extended thinking (chain-of-thought) mode for deeper reasoning
Improved performance on math (AIME 2024) and coding (LiveCodeBench) benchmarks over Qwen2.5-14B
Better multilingual support with enhanced tokenizer
More efficient architecture for faster inference on local hardware

Back to all models

Activereasoningllm Open Source

Qwen3 14B

by Alibaba· Released May 2025· Cutoff April 2025

Official Site API Docs 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32K tokens

Max output

8192 tokens

Modalities

text

Parameters

14B

License

Apache-2.0

Capabilities

ReasoningCode GenerationFunction CallingStreamingJSON ModeMultilingual

Best For

Complex reasoning and coding tasks requiring deep thought, deployable on local hardware.

Strengths

Strong reasoning capabilities with extended thinking mode
Efficient 14B parameter size for local deployment
Competitive performance on math and coding benchmarks
Multilingual support including English and Chinese

Limitations

Smaller context window (32K) compared to larger Qwen3 models
No native vision or multimodal support
May underperform larger models on very complex tasks
Limited to text-only input

Use Cases

Complex mathematical problem solving

Code generation and debugging

Logical reasoning and analysis

Educational tutoring and explanation

Document summarization and question answering

Chatbots requiring deep reasoning

Local AI assistant on consumer hardware

Improvements Over Previous Model

Introduced extended thinking (chain-of-thought) mode for deeper reasoning
Improved performance on math (AIME 2024) and coding (LiveCodeBench) benchmarks over Qwen2.5-14B
Better multilingual support with enhanced tokenizer
More efficient architecture for faster inference on local hardware

Back to all models