AI Agent Hub

LLM Models · Multimodal

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

371 models Compare
Nex AGI: Nex-N2.5-Mini logo
Nex AGI: Nex-N2.5-Mini
nex-agi

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

Multimodal 35.0B
Perceptron: Perceptron Mk1.5 logo
Perceptron: Perceptron Mk1.5
perceptron

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...

Multimodal
Mistral: Mistral Large 4 logo
Mistral: Mistral Large 4
mistralai

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...

Multimodal 1050.0B
Google: Nano Banana 2.1 logo
Google: Nano Banana 2.1
google

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...

Multimodal
Qwen: Qwen3 VL 235B A22B Instruct logo
Qwen: Qwen3 VL 235B A22B Instruct
qwen

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...

Multimodal 235.0B
NVIDIA: Nemotron 3.5 Content Safety logo
NVIDIA: Nemotron 3.5 Content Safety
nvidia

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...

Multimodal 4.0B
Anthropic: Claude 3 Haiku logo
Anthropic: Claude 3 Haiku
anthropic

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

Multimodal
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
Google: Gemini 2.5 Pro Preview 05-06 logo
Google: Gemini 2.5 Pro Preview 05-06
google

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

Multimodal
Anthropic: Claude Opus 4 logo
Anthropic: Claude Opus 4
anthropic

Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...

Multimodal
Google: Gemini 2.5 Pro Preview 06-05 logo
Google: Gemini 2.5 Pro Preview 06-05
google

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

Multimodal
Google: Gemini 2.5 Pro (batch) logo
Google: Gemini 2.5 Pro (batch)
google

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

Multimodal