Multiple AIs answered this question
Try it yourselfWhat are the best open source large language models LLMs in English
One question, multiple AI perspectives. Ask your own below.
Join 10,000+ professionals who use Multichat
What are the best open source large language models LLMs in English
As of February 2026, top open-source LLMs (weights on Hugging Face) per leaderboards like Hugging Face Open LLM, Onyx AI, and Artificial Analysis:
- Meta Llama 4 405B: Leads in reasoning/math (avg ~88%). Pros: Frontier-level performance, 128K+ context. Cons: Needs 800GB+ VRAM; quantize for smaller setups.
- Alibaba Qwen 2.5 72B: Close second (~86%), excels in coding/multilingual English. Pros: Efficient (runs on 2x A100s), MoE for speed. Cons: Slightly weaker creative tasks.
- DeepSeek V3 236B: Math/coding king (~87%). Pros: Cheap inference, strong long-context. Cons: Newer, less fine-tuned variants.
- Mistral Large 3 123B: Balanced (~85%). Pros: Fastest inference, great chat. Cons: Trails in pure reasoning.
- Google Gemma 3 27B: Best lightweight (~82%). Pros: Runs on consumer GPUs. Cons: Lower ceiling.
Download from Hugging Face; use Ollama/LM Studio for easy local runs. Llama 4 wins overall if hardware allows.
What task (e.g., coding, chat) or hardware do you have?
Gemini 3.1 ProWhat are the best open source large language models LLMs in English
As of February 2026, top open-source LLMs (weights on Hugging Face) per leaderboards like Hugging Face Open LLM, Onyx AI, and Artificial Analysis:
- Meta Llama 4 405B: Leads in reasoning/math (avg ~88%). Pros: Frontier-level performance, 128K+ context. Cons: Needs 800GB+ VRAM; quantize for smaller setups.
- Alibaba Qwen 2.5 72B: Close second (~86%), excels in coding/multilingual English. Pros: Efficient (runs on 2x A100s), MoE for speed. Cons: Slightly weaker creative tasks.
- DeepSeek V3 236B: Math/coding king (~87%). Pros: Cheap inference, strong long-context. Cons: Newer, less fine-tuned variants.
- Mistral Large 3 123B: Balanced (~85%). Pros: Fastest inference, great chat. Cons: Trails in pure reasoning.
- Google Gemma 3 27B: Best lightweight (~82%). Pros: Runs on consumer GPUs. Cons: Lower ceiling.
Download from Hugging Face; use Ollama/LM Studio for easy local runs. Llama 4 wins overall if hardware allows.
What task (e.g., coding, chat) or hardware do you have?
Gemini 2.5 FlashWhat are the best open source large language models LLMs in English