LLM Models
Detailed analysis of the top 10 Large Language Models
GPT-4o
OpenAI's multimodal model released in May 2024, supporting text, images, videos, and audio inputs. With an estimated parameter count of 1.8 trillion.
Claude 3.7 Sonnet
Released by Anthropic in early 2025, focused on helpfulness, harmlessness, and honesty. Features a 200,000 token context window.
Gemini 2.5 Pro
Google's multimodal model with a 2 million token context window, optimized for real-time applications and enterprise integration.
Llama 4 Maverick
Meta's advanced open-source model with MoE architecture, 17B active parameters, and 10M token context window.
DeepSeek R1
Cost-efficient Chinese-origin reasoning LLM with 671B parameters using MoE architecture.
Qwen 2.5-Max
Alibaba's large-scale multilingual model trained on 20T tokens, targeted at enterprise applications.
Mistral Large 2
Open-source model with 123B parameters, featuring enhanced reasoning and multilingual capabilities.
Llama 3.3 70B
Meta's open-source model with 70B parameters, supporting multimodal inputs and highly customizable.
Mixtral 8x22B
Mistral AI's sparse MoE model with 8 experts of 22B parameters each, optimized for efficiency.
Grok-3-Preview
xAI's model combining strong reasoning with real-time data access and conversational interface.