Benchmarks where Comet 60B outperforms NVIDIA Nemotron 3.5 Super VL: even at half the size, our model is able to recover and slightly improve in some of the benchmarks such as the ones showed above. The post-training stage, specifically the RL part, allow us to improve the original model. The largest improvements are tau2-Bench telecom (76.75 vs 83.11), BabyVision (26.80 vs 30.93) and AutomationBench-AA (31.16 vs 33.38).
Benchmarks where Comet 60B outperforms NVIDIA Nemotron 3.5 Super VL: even at half the size, our model is able to recover and slightly improve in some of the benchmarks such as the ones showed above. The post-training stage, specifically the RL part, allow us to improve the original model. The largest improvements are tau2-Bench telecom (76.75 vs 83.11), BabyVision (26.80 vs 30.93) and AutomationBench-AA (31.16 vs 33.38).