Qwen 3
Alibaba’s May 2025 release — first open family with hybrid reasoning (toggle-able chain of thought), Apache 2.0 across all sizes.
Alibaba’s May 2025 release — first open family with hybrid reasoning (toggle-able chain of thought), Apache 2.0 across all sizes.
Meta’s April 2025 MoE-and-multimodal release, headlined by Scout’s 10M-token context window. The pre-announced Behemoth frontier model never shipped — Meta’s next frontier release (Muse Spark, April 2026) went closed-weight.
Google DeepMind’s March 2025 Gemma family — vision-capable (4B+), 128K context, with official quantization-aware 4-bit variants.
DeepSeek’s January 2025 reasoning model — frontier chain-of-thought quality, plus six MIT-licensed distills from 1.5B to 70B.
DeepSeek’s December 2024 frontier-scale MoE — 671B total, 37B active, trained for ~$5.6M in compute.
Microsoft Research’s December 2024 Phi-4 — a 14B dense MIT-licensed model punching well above its weight on math and reasoning.
A single 70B model released December 2024, closing most of the gap to Llama 3.1 405B through improved post-training alone.
Meta’s September 2024 Llama release added edge sizes (1B/3B) and the first open-weight Llama vision models (11B/90B).
Alibaba’s September 2024 Qwen family spans 0.5B to 72B, plus coding and math specialists — mostly Apache 2.0.
Meta’s flagship 2024 open-weight LLM family — 8B, 70B, and 405B parameters with 128K context. The 405B was the first open-weight model at true frontier scale.
Google DeepMind’s June 2024 lightweight open model family — 2B, 9B, and 27B with interleaved local/global attention.
Cohere’s April 2024 RAG-native flagship — 104B dense, first-class grounded citation and tool use, CC-BY-NC 4.0.
Mistral AI’s December 2023 mixture-of-experts model — 8 experts, 2 active per token, Apache 2.0, ran at Llama-13B speed with Llama-70B quality.
Mistral AI’s September 2023 debut — a 7B Apache-2.0 model that popularized Grouped-Query and Sliding Window Attention.
Last reviewed July 9, 2026.