DeepSeek R1 Distill Llama 70B, Llama 3.3 70B Instruct, and Qwen 3 72B Instruct are three of the strongest 70B-class open-weights models available as of 2026, but they occupy distinct positions: a reasoning-distilled specialist from DeepSeek (January 2025), Meta's updated general-purpose flagship (December 2024), and Alibaba's multilingual generalist (2025). All three run under permissive licenses — MIT for the DeepSeek distill, Llama 3 community for Meta, Qwen license for Alibaba — and all share 131K context windows. DeepSeek R1 Distill Llama 70B is produced by distilling chain-of-thought supervision from the full 671B R1 mixture-of-experts model into a Llama 3.3 70B base. On AIME and MATH benchmarks it achieves roughly 70-80% of the full R1 score. If your workload involves explicit reasoning chains, step-by-step math, or tasks where showing work matters, this model outperforms both alternatives at the 70B tier. Groq hosts it with competitive latency; DeepInfra and Fireworks also carry it. MIT license means no usage restrictions for enterprise deployment. Llama 3.3 70B Instruct is the default general-purpose option at this parameter count. Meta's December 2024 alignment improvements deliver better multi-turn coherence, tool-use adherence, and structured-output reliability compared to the 3.1 70B. It is the broadest-supported model in this comparison across hosted providers and fine-tune communities. For applications that do not specifically require mathematical reasoning, it remains competitive. Qwen 3 72B is the multilingual ceiling of the three. It benchmarks at or above Llama 3.3 70B on English tasks while outperforming it substantially on CJK and Arabic evaluations. For products serving non-English users, the multilingual advantage is concrete. Pick R1 Distill 70B for reasoning-intensive pipelines. Pick Llama 3.3 70B for general-purpose hosted inference. Pick Qwen 3 72B for multilingual applications or workloads serving East Asian or Arabic users.