Research & Analysis

Anthropic's most capable model, excelling at complex analysis, nuanced content creation, and advanced coding tasks. Features superior reasoning and the ability to work autonomously on extended tasks.

OpenAI's reasoning model designed to solve hard problems across science, coding, and math using chain-of-thought reasoning.

Mid-size multimodal model optimized for complex reasoning and long context tasks with up to 2M token context.

Multimodal model with vision capabilities available in 11B and 90B parameter sizes. Supports image understanding and reasoning.

xAI's flagship model with strong reasoning and coding capabilities. Known for witty responses and real-time knowledge.

Experimental reasoning model that shows its thought process. Optimized for complex multi-step problems and explanations.

Meta's largest open-source model with 405 billion parameters. Competitive with leading closed models on benchmarks.

Cohere's most capable model optimized for complex RAG and multi-step tool use. Supports 10 languages.

State-of-the-art embedding model for semantic search and RAG. Supports 100+ languages with compression options.

Perplexity's advanced search model with real-time web access. Provides sourced, up-to-date answers with citations.

Hybrid Transformer-Mamba architecture enabling 256K context with efficient processing. Strong multilingual support.

Highly efficient 671B MoE model trained on 14.8T tokens. Achieves top benchmark scores at fraction of typical training cost.