A pretrained generative Sparse Mixture of Experts, by Mistral AI, for chat and instruction use. Incorporates 8 experts (feed-forward networks) for a total of 47 billion parameters.
Instruct model fine-tuned by Mistral. #moe • 32768 context
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue usecases.
It has demonstrated strong performance compared to leading closed-source models in human evaluations.
To read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/). • 8192 context
A 7.3B parameter model that outperforms Llama 2 13B on all benchmarks, with optimizations for speed and context length.
This is v0.1 of Mistral 7B Instruct. For v0.2, use [this model](/models/mistralai/mistral-7b-instruct:nitro). • 32768 context
Claude 3 Haiku is Anthropic's fastest and most compact model for
near-instant responsiveness. Quick and accurate targeted performance.
See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku)
#multimodal • 200000 context
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 8B instruct-tuned version was optimized for high quality dialogue usecases.
It has demonstrated strong performance compared to leading closed-source models in human evaluations.
To read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/). • 8192 context
This model is currently powered by Mistral-7B-v0.2, and incorporates a "better" fine-tuning than [Mistral 7B](/models/mistralai/mistral-7b-instruct), inspired by community work. It's best used for large batch processing tasks where cost is a significant factor but reasoning capabilities are not crucial. • 32000 context
OpenChat is a library of open-source language models, fine-tuned with "C-RLFT (Conditioned Reinforcement Learning Fine-Tuning)" - a strategy inspired by offline reinforcement learning. It has been trained on mixed-quality data without preference labels. • 8192 context
WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models.
It is an instruct finetune of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b).
To read more about the model release, [click here](https://wizardlm.github.io/WizardLM2/).
#moe • 65536 context
The latest GPT-3.5 Turbo model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Training data: up to Sep 2021.
This version has a higher accuracy at responding in requested formats and a fix for a bug which caused a text encoding issue for non-English language function calls. • 16385 context
One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge
Note: this is a higher-throughput version of [this model](/models/gryphe/mythomax-l2-13b), and may have higher prices and slightly different outputs. • 4096 context
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to Dec 2023.
This model is updated by OpenAI to point to the latest version of [GPT-4 Turbo](/models?q=openai/gpt-4-turbo), currently gpt-4-turbo-2024-04-09 (as of April 2024). • 128000 context
Claude 3 Sonnet is an ideal balance of intelligence and speed for enterprise workloads. Maximum utility at a lower price, dependable, balanced for scaled deployments.
See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)
#multimodal • 200000 context
Claude 3 Opus is Anthropic's most powerful model for highly complex tasks. It boasts top-level performance, intelligence, fluency, and understanding.
See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)
#multimodal • 200000 context
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as fast and 50% more cost-effective. GPT-4o also offers improved performance in processing non-English languages and enhanced visual capabilities.
For benchmarking against other models, it was briefly called ["im-also-a-good-gpt2-chatbot"](https://twitter.com/LiamFedus/status/1790064963966370209)
#multimodal • 128000 context
WizardLM-2 7B is the smaller variant of Microsoft AI's latest Wizard model. It is the fastest and achieves comparable performance with existing 10x larger opensource leading models
It is a finetune of [Mistral 7B Instruct](/models/mistralai/mistral-7b-instruct), using the same technique as [WizardLM-2 8x22B](/models/microsoft/wizardlm-2-8x22b).
To read more about the model release, [click here](https://wizardlm.github.io/WizardLM2/).
#moe • 32000 context
A state-of-the-art language model fine-tuned on over 300k instructions by Nous Research, with Teknium and Emozilla leading the fine tuning process. • 4096 context
This is a lower-latency version of [Claude 3 Haiku](/models/anthropic/claude-3-haiku), made available in collaboration with Anthropic, that is self-moderated: response moderation happens on the model's side instead of OpenRouter's. It's in beta, and may change in the future.
Claude 3 Haiku is Anthropic's fastest and most compact model for
near-instant responsiveness. Quick and accurate targeted performance.
See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku)
#multimodal • 200000 context
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue usecases.
It has demonstrated strong performance compared to leading closed-source models in human evaluations.
To read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).
Note: this is a higher-throughput version of [this model](/models/meta-llama/llama-3-70b-instruct), and may have higher prices and slightly different outputs. • 8192 context
This is a lower-latency version of [Claude 3 Sonnet](/models/anthropic/claude-3-sonnet), made available in collaboration with Anthropic, that is self-moderated: response moderation happens on the model's side instead of OpenRouter's. It's in beta, and may change in the future.
Claude 3 Sonnet is an ideal balance of intelligence and speed for enterprise workloads. Maximum utility at a lower price, dependable, balanced for scaled deployments.
See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)
#multimodal • 200000 context