Large Language Models

AWS's multimodal model available via Bedrock. Optimized for enterprise workflows with strong document understanding.

Fastest Anthropic model. Ideal as fallback LLM or for high-throughput classification and extraction tasks.

Anthropic's most capable model. Top performance on complex analysis, coding, and extended reasoning tasks.

Anthropic's balanced model. Strong at coding, analysis, and nuanced reasoning with low hallucination rate.

Mistral's code-specialized model. Trained on 80+ programming languages. Top-tier for code generation and review.

Efficient enterprise model optimized for RAG with built-in citation generation and tool use.

Enterprise-focused model with built-in RAG and tool use. Optimized for business workflows and grounded generation.

Databricks' open MoE model (132B total, 36B active). Strong at structured data tasks and SQL generation.

Open reasoning model competitive with o1. Chain-of-thought reasoning with transparent thinking process.

Chinese open-weight model rivaling GPT-4o. MoE architecture, 671B params. Exceptional value for reasoning and coding.

Google's fast and efficient model. Great for latency-sensitive applications with strong multimodal support.

Google's most capable model with 1M+ token context. Best for long document analysis and multimodal tasks.

Google's on-device model. Runs locally on mobile/desktop without cloud. Built into Chrome and Android.

Google's lightweight open model (2B-27B). Optimized for on-device and edge deployment with strong safety features.

Fast and affordable model from OpenAI. 82% cheaper than GPT-4o. Best for high-volume tasks where speed matters.

xAI's model with real-time web access and X/Twitter data. Good for current events and unfiltered responses.

Conversational AI model focused on empathetic, helpful dialogue. Available via enterprise API for customer-facing apps.

AI21's hybrid SSM-Transformer model. 256K context window with efficient long-context processing.

Meta's proven open model. Strong all-around performance, widely available on hosting platforms.

Meta's open-weight mixture-of-experts model. 400B total params, 17 active experts. Strong multilingual and coding perfor...

Meta's efficient open model. 109B params with 16 experts. 10M token context window for massive document processing.

Desktop app for running local LLMs. User-friendly GUI, GGUF model support, built-in chat and API server.

Mistral's flagship model. Excellent for complex reasoning with strong multilingual support, especially European language...

12B open model co-developed with NVIDIA. Apache 2.0 license, 128K context. Great for self-hosting.

Affordable Mistral model optimized for low-latency tasks. Great for classification, summarization, and translation.

NVIDIA's model optimized for enterprise. Strong at structured output and function calling for business automation.

Run LLMs locally with one command. Supports Llama, Mistral, Gemma, Phi and more. Zero cloud dependency.

Flagship multimodal model from OpenAI. Handles text, images, and audio. Best for complex reasoning and instruction follo...

Reasoning model that thinks before answering. Excels at math, science, and complex multi-step problems.

Most capable reasoning model from OpenAI. State-of-the-art on coding and math benchmarks.

Lightweight reasoning model. Good balance of reasoning capability and cost for everyday tasks.

Latest compact reasoning model from OpenAI. Cost-effective for tool-use and agentic workflows.

Search-augmented LLM with real-time web access. Returns cited answers grounded in current web sources.

Microsoft's small language model (14B params). Punches above its weight on reasoning. Great for on-device deployment.

Alibaba's flagship open model. Strong at math, coding, and Chinese-English tasks. Apache 2.0 license.

Alibaba's code-specialized model. Competitive with GPT-4o on coding benchmarks. Available in 7B-32B sizes.

Multimodal model handling text, images, and video. Strong at visual reasoning and document understanding.

Custom hardware-accelerated inference. Fastest token generation speeds for large models. Enterprise-focused.

Stability AI's text model family. Lightweight models (3B-12B) good for edge deployment and fine-tuning.

Korean AI company's LLM. Strong at document understanding and structured data extraction.

Enterprise LLM focused on brand-consistent content generation. Built-in compliance and style guide enforcement.

01.AI's flagship model. Strong multilingual performance with competitive reasoning on benchmarks.