AI Agent Hub

LLM Models

Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.

2,132 models Compare
Amazon: Nova Lite 1.0 logo
Amazon: Nova Lite 1.0
amazon

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...

Closed Source
Cohere: Command R7B (12-2024) logo
Cohere: Command R7B (12-2024)
cohere

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...

Closed Source
OpenAI: o1 logo
OpenAI: o1
openai

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...

Code
Sao10K: Llama 3.3 Euryale 70B logo
Sao10K: Llama 3.3 Euryale 70B
sao10k

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).

Code
MiniMax: MiniMax-01 logo
MiniMax: MiniMax-01
minimax

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

Closed Source
Perplexity: Sonar logo
Perplexity: Sonar
perplexity

Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...

Closed Source
Mistral: Mistral Small 3 logo
Mistral: Mistral Small 3
mistralai

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...

Closed Source
Qwen: Qwen-Plus logo
Qwen: Qwen-Plus
qwen

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

Closed Source
Qwen: Qwen2.5 VL 72B Instruct logo
Qwen: Qwen2.5 VL 72B Instruct
qwen

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

Multimodal
AionLabs: Aion-RP 1.0 (8B) logo
AionLabs: Aion-RP 1.0 (8B)
aion-labs

Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. It is a fine-tuned base model...

Closed Source
Mistral: Saba logo
Mistral: Saba
mistralai

Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...

Closed Source
Perplexity: Sonar Deep Research logo
Perplexity: Sonar Deep Research
perplexity

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...

Closed Source