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Explore all available AI models, their performance, and best use cases
Showing 17 of 17 models
Amazon Nova 2 Lite is Amazon's lightweight AI model designed for efficient performance and fast inference. It provides good balance between quality and speed for various tasks.
DeepSeek V3.1 is a powerful language model optimized for code generation, mathematical reasoning, and technical tasks. It excels in programming and analytical problem-solving.
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Gemini 2.0 Flash Lite is Google's lightweight and fast model optimized for quick responses. Perfect for applications requiring rapid turnarounds and efficient resource usage.
Gemini 2.5 Flash Lite is Google's lightweight model optimized for fast responses and efficient resource usage. Ideal for applications requiring quick turnarounds.
Gemma 3 27B is Google's instruction-tuned model with 27 billion parameters. It's optimized for following instructions and maintaining context in conversations, making it excellent for multi-turn dialogues and task-oriented interactions.
Best For
Gemma 3 27B IT is Google's powerful 27 billion parameter instruction-tuned model. It provides excellent performance for complex tasks requiring deep understanding and reasoning.
Gemma 3 4B IT is Google's efficient 4 billion parameter instruction-tuned model. It provides a good balance between performance and speed for various tasks.
Gemma 3N E2B is Google's efficient instruction-tuned model optimized for fast inference and resource efficiency. Ideal for applications requiring quick responses with limited computational resources.
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GPT-4.1 is an advanced language model with enhanced capabilities for complex reasoning, code generation, and creative tasks. It offers improved performance over previous versions.
GPT-5 Mini is OpenAI's compact and efficient model offering high-quality responses with faster inference speeds. It's designed for general-purpose tasks while maintaining excellent performance across various domains.
Grok 4.1 Fast is xAI's latest fast inference model optimized for speed and efficiency. It provides rapid responses while maintaining high quality, making it ideal for applications requiring real-time interactions and quick turnarounds.
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Llama 3.2 3B Instruct is Meta's compact 3 billion parameter model optimized for efficiency and speed. It provides good performance for general tasks while maintaining fast response times.
Llama 3.3 70B is Meta's latest large language model with 70 billion parameters. It excels at following complex instructions, reasoning, and providing detailed responses across various domains including coding, mathematics, and general knowledge.
MAI DS R1 is Microsoft's data science focused model. It's optimized for analytical tasks, mathematical reasoning, and scientific computing applications, making it ideal for research and data analysis.
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Mistral 7B Instruct is Mistral AI's efficient 7 billion parameter instruction-tuned model. It provides excellent performance for general-purpose tasks with fast inference speeds and strong multilingual capabilities.
Mistral Small 3.1 is an efficient model offering a balance between performance and speed. It's well-suited for general-purpose tasks with strong multilingual capabilities.
Best For
Mistral Small 3.1 24B is Mistral AI's efficient 24 billion parameter model. It provides a good balance between performance and speed, with strong capabilities in European languages and creative tasks.