Welcome to Large Language Model Radar

All-MiniLM-33M by Sentence Transformers: A compact, monolingual model for efficient information retrieval.

All-MiniLM 22M by Sentence Transformers, a compact model for efficient information retrieval.

Bge M3 567M by BAAI: A bi-lingual, 567M param model for efficient information retrieval with an 8k context window.

Qwen3 0.6B: Alibaba's 0.6 billion param model excels in reasoning tasks with a 32k context window.

Deepseek R1 671B: Bi-lingual Large Language Model with 671 billion parameters. Supports context lengths up to 128k for advanced code generation and debugging tasks.

Llama3.1 8B Instruct by Meta Llama, an 8 billion parameter, multi-lingual model with a 128k context window, excels in assistant-like chat.

Gemma3 27B: Google's 27 billion parameter LLM for creative content & comms. Supports context up to 128k tokens. Ideal for text gen, chatbots, summarization & image data extraction.

Qwen3 8B: Alibaba's 8 billion parameter LLM for reasoning & problem-solving. Mono-lingual model with context lengths up to 8k.

Gemma3 4B by Google: 4 billion params, 128k/32k context-length. Supports multiple languages for creative content generation, chatbot AI, text summarization, and image data extraction.

Llama3 Gradient 8B by Meta Llama: An 8 billion parameter, English-focused LLM with an 8k context window, ideal for commercial & research use.

Qwen3 4B: Alibaba's 4 billion parameter LLM for enhanced reasoning & logic tasks.

Llama3.2 3B Instruct by Meta Llama Enterprise: A multilingual, 3 billion parameter model with 8k to 128k context-length, designed for assistant-like chat apps.