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Open-Source LLM Tracker

Live tracker of 15 open-weight LLMs: Llama 3.3/4, Qwen 3.5, DeepSeek V3.2/R1, Kimi K2, Mistral Large 3, Gemma 3, Phi-4, SmolLM3. Filter by license.

Updated May 2026

Model	Vendor	Params	License	Context	Best for
Llama 3.3 70B	Meta	70B	llama	128k	Battle-tested production deployments
Llama 4 Maverick	Meta	402B MoE	llama	1M	Frontier MoE; needs serious GPU
Qwen 3.5 72B	Alibaba	72B	apache	128k	Top open-weight on coding (SWE-bench)
Qwen 3.5 32B	Alibaba	32B	apache	128k	Sweet spot quality vs hardware
DeepSeek V3.2	DeepSeek	671B MoE	custom	128k	Frontier-class on agentic coding
DeepSeek R1	DeepSeek	671B MoE	custom	128k	Reasoning leader, open weights
DeepSeek-V3.2-Distill-Qwen-32B	DeepSeek	32B	apache	128k	Runs on single-GPU with R1-style reasoning
Kimi K2	Moonshot	1T MoE	custom	1M	Long-context open-weight leader
Mistral Large 3	Mistral	123B	custom	128k	EU-friendly; tool use
Mistral Medium 3	Mistral	30B	apache	32k	Fits on a single H100
Gemma 3 27B	Google	27B	custom	128k	Google's open-weight; balanced
Gemma 3 9B	Google	9B	custom	128k	Fast inference for autocomplete-style tasks
Phi-4	Microsoft	14B	mit	32k	Highest-quality dense small model
Llama 3.2 3B	Meta	3B	llama	128k	Mobile / edge deployments
SmolLM3 3B	HuggingFace	3B	apache	64k	Tiny, fast, CPU-friendly

License gotchas: Apache 2.0 and MIT are the most permissive. Llama license is mostly permissive but has 700M-MAU acceptable-use clauses. Custom (DeepSeek, Kimi, Gemma) often allows commercial use but check restrictions. Always read the license file in the model repo before shipping to production.

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What it does

15 open-weight LLMs tracked: Llama 3.3 / 4 Maverick, Qwen 3.5 (32B / 72B), DeepSeek V3.2 / R1, the DeepSeek-Distill-Qwen variant, Kimi K2, Mistral Large 3 / Medium 3, Gemma 3 (9B / 27B), Phi-4, Llama 3.2 3B, SmolLM3. Filter by license (Apache, MIT, Llama, Qwen, custom). Always read the license file before shipping a commercial product.

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