A user shared on Reddit the results obtained with the Qwen 3.5 language model while running the Vending-Bench 2 benchmark. The image attached to the post shows that the model encountered difficulties in completing the test.

Vending-Bench 2 is a benchmark designed to evaluate the reasoning and problem-solving capabilities of language models. The results obtained by Qwen 3.5 suggest that, in this specific scenario, the model may not achieve optimal performance. Further analysis may be necessary to understand the causes of these difficulties and identify possible areas for improvement.

For those evaluating on-premise deployments, there are trade-offs to consider. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.