Guide

Smaller o-series reasoner for economical coding, math, and planning tasks

Euryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/models/sao10k/l3-euryale-70b).

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...

Grok 2 (1212) from xAI - text input, 131,072 token context

Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5). It introduces notable enhancements in multimodal understanding, coding capabilities, complex instruction following, and function calling. These advancements come together to deliver more seamless and robust agentic experiences.

Legacy model retained for compatibility with older integrations

Earlier Gemini Flash workhorse for responsive multimodal apps and tool use

Open Llama instruction model for multilingual chat, reasoning, and coding

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

Open Llama instruction model for multilingual chat, reasoning, and coding

Llama-3.3-70B-Instruct from Synthetic - text input, 128,000 token context

Popular open Llama workhorse for multilingual chat, coding, and self-hosting

Popular open Llama workhorse for multilingual chat, coding, and self-hosting

Compact Llama instruction model for fast chat and local deployment

Popular open Llama workhorse for multilingual chat, coding, and self-hosting

Compact Llama instruction model for fast chat and local deployment

Open Llama instruction model for multilingual chat, reasoning, and coding

Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...

Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December...

O-series reasoning model for hard analysis, math, coding, and planning

O-series reasoning model for hard analysis, math, coding, and planning

Coding model for repository understanding, refactors, and agentic engineering tasks

Efficient model for low-latency assistance, extraction, and routine automation

Efficient model for low-latency assistance, extraction, and routine automation

Flagship model for demanding analysis, coding, and production agent workflows

Nova Premier from AWS Bedrock - text, image, video input, 1,000,000 token context

Efficient model for low-latency assistance, extraction, and routine automation

Flagship model for demanding analysis, coding, and production agent workflows

Efficient model for low-latency assistance, extraction, and routine automation

Flagship model for demanding analysis, coding, and production agent workflows

Efficient model for low-latency assistance, extraction, and routine automation

Efficient model for low-latency assistance, extraction, and routine automation

Efficient model for low-latency assistance, extraction, and routine automation

Efficient model for low-latency assistance, extraction, and routine automation

Flagship model for demanding analysis, coding, and production agent workflows

Efficient model for low-latency assistance, extraction, and routine automation

Efficient model for low-latency assistance, extraction, and routine automation

Flagship model for demanding analysis, coding, and production agent workflows

Efficient model for low-latency assistance, extraction, and routine automation

Reranking model for improving retrieval quality in search and recommendation systems

Cohere retrieval model for long-context chat and enterprise RAG workflows

Titan Text G1 - Express from AWS Bedrock - text input, 128,000 token context

Titan Text G1 - Express from AWS Bedrock - text input, 128,000 token context

Mistral Large (24.02) from AWS Bedrock - text input, 128,000 token context

Qwen omni model for text, vision, audio, and multimodal agent tasks

Open Llama instruction model for multilingual chat, reasoning, and coding

Open-weight instruction model for adaptable chat and self-hosted production workloads