Top 10 Open Source LLMs

The reigning champion of open weights. With 8B, 70B, and the massive 405B variants, Llama 3.1 brings GPT-4 class performance to the open community. Excellent for general-purpose tasks, reasoning, and coding.

A powerhouse in reasoning and coding. DeepSeek R1 (Jan 2025) sets new benchmarks in complex math and logic, while V3 offers incredible efficiency. A favorite for developers and researchers.

The European giant. Mistral Large 2 (123B) is a coding and multilingual beast, supporting 80+ languages with a massive context window. Perfect for enterprise-grade applications.

The multilingual master. Qwen 2.5 excels in instruction following and logical reasoning across diverse languages. Its performance rivals top-tier closed models in many benchmarks.

OpenAI's entry into open weights. The 120B parameter model is optimized for advanced reasoning and agentic workflows, bridging the gap between closed and open ecosystems.

Built on Gemini research. Gemma 2 offers state-of-the-art performance in lighter weight classes (9B, 27B), making it ideal for efficient deployment without sacrificing reasoning quality.

Small but mighty. Phi-4 punches way above its weight class, delivering exceptional reasoning and coding capabilities that run efficiently on consumer hardware.

The massive MoE. With 314B parameters, Grok-1 is a beast of a model known for its "spicy" personality and strong general knowledge. A unique option for those with the compute.

A strong bilingual contender. Yi-1.5 (34B) offers a great balance of performance and size, excelling in both English and Chinese tasks with improved coding skills.

The RAG specialist. Optimized for retrieval-augmented generation and tool use, Command R+ is the go-to open model for building complex, data-driven enterprise assistants.