Text & Chat Models

Anthropic's most powerful model. Exceptional at complex analysis, agentic tasks, and extended reasoning.

Anthropic's most capable model. Excellent for complex analysis, coding, math, and creative writing.

Google's fastest multimodal model. Supports text, images, audio, and video input.

Google's latest thinking model. Excels at reasoning, coding, math, and science with massive context window.

OpenAI's newest flagship model. Improved reasoning, instruction following, and coding over GPT-4o.

OpenAI's latest frontier model with improved reasoning, creativity, and instruction following. Significant improvements over GPT-4o.

OpenAI's most capable multimodal model. Excellent for complex reasoning, coding, and creative tasks.

Meta's powerful Llama 4 Maverick model. A larger, more capable variant with strong reasoning, creative writing, and multilingual abilities.

OpenAI's reasoning model that thinks before answering. Uses chain-of-thought to solve complex math, science, and coding problems.

OpenAI's reasoning model optimized for STEM tasks, coding, and math. Uses chain-of-thought reasoning.

Anthropic's fastest and most affordable model. Ideal for high-volume tasks, customer support, and quick responses.

Previous generation balanced model from Anthropic. Still excellent for many tasks including coding, analysis, and creative writing.

Anthropic's fast and affordable model. Great for quick tasks, summarization, and simple coding.

Cohere's efficient model optimized for RAG and tool use. Great balance of quality and cost for production deployments.

Cohere's flagship model for enterprise RAG applications. Excellent at retrieval-augmented generation, summarization, and multi-step tasks.

Databricks' open-source MoE model with 132B total parameters. Strong at enterprise tasks, SQL, and data-related queries.

DeepSeek's reasoning model with chain-of-thought capabilities. Excellent for complex problem-solving.

Powerful open-weight model from DeepSeek. Strong at coding, math, and Chinese/English tasks.

Google's fast, versatile multimodal model. Supports text, images, audio, and video inputs. Great balance of speed and capability.

Google's most cost-efficient model. Optimized for high-volume, lower-complexity tasks with excellent throughput.

Google's open-source 27B model. Strong performance in reasoning and text generation, built with Google's research expertise.

Compact open-source model from Google. Excellent for on-device deployment and resource-constrained environments.

Small, fast, and affordable model for lightweight tasks. Great balance of speed and capability.

xAI's previous flagship model. Known for its witty personality, strong reasoning, and ability to handle nuanced questions.

xAI's flagship model. Strong at reasoning, coding, and real-time knowledge with web search capabilities.

Smaller, faster version of Grok 3. Excellent for quick responses and lower-cost applications while maintaining strong capabilities.

Meta's largest open-source model. 405 billion parameters delivering frontier-class performance on reasoning, coding, and multilingual tasks.

Meta's highly capable 70B open-source model. Great balance of performance and efficiency for a wide range of tasks.

Meta's compact 8B model. Surprisingly capable for its size, perfect for fast inference, edge deployment, and cost-sensitive applications.

Meta's open-source 70B parameter model. Strong all-around performance with multilingual support.

Meta's next-generation Llama 4 model optimized for efficiency. Built on a new architecture with improved reasoning and instruction following.

Mistral's flagship model. Strong reasoning, multilingual, and coding capabilities.

Mistral's most capable model. 123B parameters with strong reasoning, multilingual support, and function calling. Great for complex enterprise tasks.

Mid-range model from Mistral AI offering a good balance of performance and cost for most business applications.

12B open-weight model by Mistral and NVIDIA. Compact but capable, ideal for on-device or self-hosted deployments.

Mistral's efficient small model. Fast and cost-effective for straightforward tasks like classification, text generation, and RAG.

Smaller, faster version of OpenAI's o1 reasoning model. Optimized for STEM tasks with lower latency and cost.

Microsoft's small but mighty 14B model. Punches well above its weight class on reasoning, math, and coding benchmarks.

Alibaba's powerful open-source model. Excellent at coding, math, and multilingual tasks.

Compact 7B model from Alibaba's Qwen series. Fast and efficient while maintaining strong multilingual and coding capabilities.

Alibaba's reasoning model. Uses chain-of-thought to solve complex math, logic, and coding problems. Open-weight alternative to o1.

01.AI's fast inference model. Optimized for speed with competitive quality, ideal for real-time applications.