Explore Mixes
Crosshatch Mixes combine the strengths of multiple AI models to deliver optimal performance for specific tasks. Each mix is carefully curated and automatically updated to ensure you always have access to the best AI capabilities without manual selection.
Optimized for extended conversations, this mix utilizes top-performing models in multi-turn interactions. It leverages the LMSys Chatbot Arena rankings for conversations with two or more turns, ensuring high-quality responses in longer dialogues.
Optimized for extended conversations, this mix utilizes top-performing models in multi-turn interactions. It leverages the LMSys Chatbot Arena rankings for conversations with two or more turns, ensuring high-quality responses in longer dialogues.
A custom-built Mixture-of-Agents (MoA) synthesis mix optimized for challenging coding tasks. This mix leverages multiple 'proposer' models, including Claude 3.5 Sonnet and GPT-4 Turbo, with an 'aggregation' model that synthesizes their outputs. In benchmarks, it demonstrated 28% better performance compared to Claude 3.5 Sonnet alone, particularly excelling at complex programming challenges.
An open-source Mixture-of-Agents (MoA) synthesis mix optimized for coding tasks. This mix leverages two 'proposer' models, DeepSeek-2.5 and Mistral Large 2, with Llama 3.1 405B as the 'aggregation' model that synthesizes their outputs. This mix offers a powerful, cost-effective solution for complex programming challenges.
Get Your Own Custom Mixes
Submit your use case or a general description of what you need for a custom tuned solution.