efathakanafunzi/Qwen3-14B

TEXT GENERATIONPricing:Input $0.48 / Output $0.96Concurrent Unit Cost:1Model Size:14BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 28, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Qwen3-14B is a 14.8 billion parameter causal language model from the Qwen series, developed by Qwen. It uniquely supports seamless switching between 'thinking' and 'non-thinking' modes for optimized performance across complex logical reasoning, math, coding, and general dialogue. This model demonstrates significant enhancements in reasoning, human preference alignment, and agent capabilities, alongside robust multilingual support for over 100 languages and dialects. It is designed for diverse applications requiring advanced reasoning and conversational fluency.

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Qwen3-14B Overview

Qwen3-14B is a 14.8 billion parameter causal language model from the Qwen series, distinguished by its innovative ability to seamlessly switch between a 'thinking mode' for complex logical reasoning, mathematics, and coding, and a 'non-thinking mode' for efficient general-purpose dialogue. This dual-mode functionality allows for optimal performance across a wide range of tasks.

Key Capabilities

  • Enhanced Reasoning: Significantly improved performance in mathematics, code generation, and commonsense logical reasoning, surpassing previous Qwen models.
  • Superior Human Preference Alignment: Excels in creative writing, role-playing, multi-turn dialogues, and instruction following, providing a more natural and engaging conversational experience.
  • Advanced Agent Capabilities: Demonstrates expertise in integrating with external tools in both thinking and non-thinking modes, achieving leading performance in complex agent-based tasks among open-source models.
  • Extensive Multilingual Support: Supports over 100 languages and dialects with strong capabilities for multilingual instruction following and translation.
  • Flexible Context Handling: Natively supports a context length of 32,768 tokens, extendable up to 131,072 tokens using the YaRN method for processing long texts.

When to Use This Model

Qwen3-14B is ideal for applications requiring:

  • Dynamic adaptation between high-level reasoning and efficient general conversation.
  • Complex problem-solving in domains like math and coding.
  • Engaging and natural multi-turn dialogues or creative content generation.
  • Integration with external tools for agentic workflows.
  • Multilingual applications needing robust instruction following and translation across many languages.

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