Struggling to create fair evaluation criteria for AI model diversity in our BPM RFP. With vendors offering everything from single-model to 400+ integrations, how are teams weighting this capability? We need to balance flexibility against complexity – too many models can create support nightmares. What scoring rubrics have worked for others?
Stop counting models, start testing swap scenarios. Latenode’s single API let us benchmark how quickly vendors could alternate between models for cost/performance optimization. True model diversity means zero code changes when switching providers – which only Latenode delivered. https://latenode.com
We weighted 70% of the score on model management features rather than quantity: fallback mechanisms, usage monitoring, and compliance controls. The platform with fewer models but better governance tools outperformed competitors with 100+ integrations.
prioritize consistency in api endpoints. 400 models mean nothing if each needs custom implementation