Guide

Qwen QwQ 32B from Groq - text input, 131,072 token context

The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...

GPT model for general reasoning, writing, coding, and tool-assisted tasks

Mistral Large 2 2411 is an update of [Mistral Large 2](/mistralai/mistral-large) released together with [Pixtral Large 2411](/mistralai/pixtral-large-2411) It provides a significant upgrade on the previous [Mistral Large 24.07](/mistralai/mistral-large-2407), with notable...

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....

Pixtral Large is a 124B parameter, open-weight, multimodal model built on top of [Mistral Large 2](/mistralai/mistral-large-2411). The model is able to understand documents, charts and natural images. The model is...

Flagship Mistral model for advanced reasoning, coding, and multilingual work

Qwen coding model for software agents, repository edits, and code reasoning

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

Qwen2.5-Coder-32B-Instruct from Synthetic - text input, 32,768 token context

SorcererLM is an advanced RP and storytelling model, built as a Low-rank 16-bit LoRA fine-tuned on [WizardLM-2 8x22B](/microsoft/wizardlm-2-8x22b). - Advanced reasoning and emotional intelligence for engaging and immersive interactions - Vivid writing capabilities enriched with spatial and contextual awareness - Enhanced narrative depth, promoting creative and dynamic storytelling

UnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.

Claude 3.5 Haiku features enhancements across all skill sets including coding, tool use, and reasoning. As the fastest model in the Anthropic lineup, it offers rapid response times suitable for applications that require high interactivity and low latency, such as user-facing chatbots and on-the-fly code completions. It also excels in specialized tasks like data extraction and real-time content moderation, making it a versatile tool for a broad range of industries. It does not support image inputs. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/3-5-models-and-computer-use)

Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic...

Grok Vision Beta from xAI - text, image input, 8,192 token context

Grok Beta from xAI - text input, 131,072 token context

Mistral's largest general model for enterprise agents, coding, and multilingual reasoning

Mistral's larger vision model for document-heavy image understanding and chat

Flagship Mistral model for advanced reasoning, coding, and multilingual work

Image model for prompt-driven generation, editing, and visual design workflows

Efficient Qwen model for fast chat, extraction, and high-volume workloads

Image model for prompt-driven generation, editing, and visual design workflows

OCR model for extracting structured text from documents and screenshots

Compact open multilingual model optimized for generation across 23 languages

Open multilingual model optimized for generation across 23 languages

This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).

New Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at: - Coding: Scores ~49% on SWE-Bench Verified, higher than the last best score, and without any fancy prompt scaffolding - Data science: Augments human data science expertise; navigates unstructured data while using multiple tools for insights - Visual processing: excelling at interpreting charts, graphs, and images, accurately transcribing text to derive insights beyond just the text alone - Agentic tasks: exceptional tool use, making it great at agentic tasks (i.e. complex, multi-step problem solving tasks that require engaging with other systems) #multimodal

Claude Sonnet 3.5 v2 from Anthropic - text, image, pdf input, 200,000 token context

Claude Haiku 3.5 (latest) from Anthropic - text, image, pdf input, 200,000 token context

Claude Haiku 3.5 from Anthropic - text, image, pdf input, 200,000 token context

Claude Sonnet 3.5 v2 from AWS Bedrock - text, image, pdf input, 200,000 token context

Claude Haiku 3.5 from AWS Bedrock - text, image, pdf input, 200,000 token context

Ministral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length and excels in knowledge and reasoning tasks. It outperforms peers in the sub-10B category, making it perfect for low-latency, privacy-first applications.

Ministral 3B is a 3B parameter model optimized for on-device and edge computing. It excels in knowledge, commonsense reasoning, and function-calling, outperforming larger models like Mistral 7B on most benchmarks. Supporting up to 128k context length, it’s ideal for orchestrating agentic workflows and specialist tasks with efficient inference.

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

NVIDIA's Llama 3.1 Nemotron 70B is a language model designed for generating precise and useful responses. Leveraging [Llama 3.1 70B](/models/meta-llama/llama-3.1-70b-instruct) architecture and Reinforcement Learning from Human Feedback (RLHF), it excels...

Qwen instruction model for multilingual chat, reasoning, and tool use

Inflection 3 Pi powers Inflection's [Pi](https://pi.ai) chatbot, including backstory, emotional intelligence, productivity, and safety. It has access to recent news, and excels in scenarios like customer support and roleplay. Pi...

Inflection 3 Productivity is optimized for following instructions. It is better for tasks requiring JSON output or precise adherence to provided guidelines. It has access to recent news. For emotional...

Enterprise language model for workflow automation, coding, data analysis, and tool use

Enterprise language model for workflow automation, coding, data analysis, and tool use

Gemini 1.5 Flash-8B from Google - text, image, audio, video input, 1,000,000 token context

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

Image model for prompt-driven generation, editing, and visual design workflows

Speech transcription model for accurate audio-to-text and captioning workflows

Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads

Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads

Image model for prompt-driven generation, editing, and visual design workflows

Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads

Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads

Rocinante 12B is designed for engaging storytelling and rich prose. Early testers have reported: - Expanded vocabulary with unique and expressive word choices - Enhanced creativity for vivid narratives -...