AllenAI: Olmo 3 32B Think

AllenAI's Olmo 3 32B Think, a 32-billion-parameter model designed for deep reasoning and complex instruction following, demonstrates a strong overall performance profile. While its speed ranking indicates it tends to have longer response times, placing it in the 5th percentile, its pricing is moderate, falling within the 33rd percentile. A standout feature is its exceptional reliability, boasting a 97% success rate across benchmarks, signifying minimal technical failures and consistent evaluable responses. The model exhibits particular strength in coding and reasoning tasks, achieving 92.0% and 88.0% accuracy respectively, placing it in the 78th and 76th percentiles. It also performs well in General Knowledge with 99.0% accuracy (66th percentile). However, a notable weakness is its performance on the Hallucinations benchmark, where it achieved only 78.0% accuracy (23rd percentile), suggesting room for improvement in acknowledging uncertainty. Email Classification and Ethics benchmarks show solid, though not top-tier, performance at 97.0% and 98.0% accuracy respectively. Despite its slower response times, Olmo 3 32B Think's robust accuracy in complex domains and high reliability make it a compelling option for demanding AI applications.