Apex Intelligence · Research automation LLM

Apex-35B-V1.0

Apex-35B-V1.0 is the first model from Apex Intelligence. It is a 35B general-purpose model based on Qwen3.6-35B-A3B, developed further through mid-training and post-training on proprietary datasets and research trajectories. The company says AI took part in data construction, experiment design, code execution, result analysis and training optimisation during its development. It reports that the model beats Qwen3.6-35B-A3B and Recursive Flint on all six research benchmarks, outperforms GLM-5.3 on FrontierScience and PaperBench, and has the highest BFCL V4 score among the models compared. On RoboRSI and Real2Sim it scores 44.5 and 21.55, against 52.4 and 21.4 for GLM-5.3-Flash. On CFD-Bench it records 79 wins, 0 draws and 21 losses against the base model. In the AI4AI-Bench Sokoban task it trained a Qwen2.5-3B-Instruct model to a 24.4% success rate on 512 unseen levels, against 11.7% for the base model. The model is text-only, and the robotics demos use a separate vision tool backed by GPT-6.1-Sol. the page does not state a licence, weights availability or release date.