Think through your LLM choices

Multi-step tasks requiring planning, tool use, and self-correction

Writing, reviewing, debugging, and explaining code in a development workflow

Generating marketing copy, articles, social posts, and creative content

Handling customer inquiries following product policies and tone guidelines

Interpreting data, writing analysis code, and explaining findings

Running open-weight models on local hardware — privacy, cost, or offline use

Answering questions grounded in a retrieved document corpus

Reading, summarizing, and connecting information across multiple sources

Code generation, debugging, explanation, and refactoring

Creative, narrative, and stylistic text generation

World knowledge accuracy, recall of facts and relationships

Adhering to complex, structured, or constrained instructions

Performance retention over long documents and conversations

Quality of non-English language understanding and generation

Quality of vision, audio, and image understanding (distinct from modality support)

Multi-step reasoning, logic puzzles, mathematical problem-solving

Function calling, structured output, agent-style tool orchestration