The Allen Institute for AI (Ai2) recently released what it calls its most powerful family of models yet, Olmo 3. But the company kept iterating on the models, expanding its reinforcement learning (RL) runs, to create Olmo 3.1.The new Olmo 3.1 models focus on efficiency, transparency, and control for enterprises. Ai2 updated two of the three versions of Olmo 2: Olmo 3.1 Think 32B, the flagship model optimized for advanced research, and Olmo 3.1 Instruct 32B, designed for instruction-following, multi-turn dialogue, and tool use. Olmo 3 has a third version, Olmo 3-Base for programming, comprehension, and math. It also works well for continue fine-tuning. Ai2 said that to upgrade Olmo 3 Think 32B to Olmo 3.1, its researchers extended its best RL run with a longer training schedule. “After the original Olmo 3 launch, we resumed our RL training run for Olmo 3 32B Think, training for an additional 21 days on 224 GPUs with extra epochs over our Dolci-Think-RL dataset,” Ai2 said in a blog post. “This yielded Olmo 3.1 32B Think, which brings substantial gains across math, reasoning, and instruction-following benchmarks: improvements of 5+ points on AIME, 4+ points on ZebraLogic, 4+ points on IFEval, and 20+ points on IFBench, alongside stronger performance on coding and complex multi-step tasks.”To get to Olmo 3.1 Instruct, Ai2 said its researchers applied the recipe behind the smaller Instruct size, 7B, to the larger model.Olmo 3.1 Instruct 32B is “optimized for chat, tool use, & multi-turn dialogue—making it a much more performant sibl …
