OpenAI latest GPT-4o variant for advanced reasoning. ~200B?
OpenAI gpt-3.5-turbo: faster, cost-effective GPT-3.5 series with 175B.
OpenAI o1-2024-12-17 Reasoning models that excel at complex, multi-step tasks. ~300B?
OpenAI o3-mini-2025-01-31. While o1 remains broader general knowledge reasoning model, OpenAI o3-mini provides a specialized alternative for technical domains requiring precision and speed
Google gemma3 with 12B parameters. Gemma 3 models are multimodal—processing text and images—and feature a 128K context window with support for over 140 languages. Available in 1B, 4B, 12B, and 27B parameter sizes, they excel in tasks like question answering, summarization, and reasoning, while their compact design allows deployment on resource-limited devices.
Google Gemma2 with 9B parameters for robust text generation.
Chinese DeepSeek with 14B parameters—fast and versatile.
Chinese DeepSeek with 8B parameters—fast and versatile.
Facebook Llama 3.1 series for efficient generation.
Smaller Llama model (3B) for quicker responses.
French "Mistral AI" 7B for balanced performance.
Alibaba Qwen 2.5 with 7B parameters for stable outputs.
Microsoft: Phi-4 is a 14B parameter, state-of-the-art open model from Microsoft.
Microsoft Lightweight phi3 variant—resource-friendly.
Google gemma3:27b-it-qat. The quantization aware trained Gemma 3 models preserves similar quality as half precision models (BF16) while maintaining a lower memory footprint (3x less compared to non-quantized models).
