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Capability Assessment
Evaluate models on: reasoning quality, coding proficiency, language support, context window size, multimodal capabilities, and domain-specific performance. Run your own evaluations with real-world prompts from your organization, not just public benchmarks.
Safety and Alignment
Assess: refusal rates on harmful requests, hallucination frequency, instruction following accuracy, bias in outputs, and vulnerability to prompt injection. Safety varies significantly across models and updates.
Cost Analysis
Compare: per-token pricing across providers, quality-to-cost ratios, volume discounts, and total cost of ownership including infrastructure, governance, and support. What seems cheaper per token may cost more per useful output.
Compliance and Data Handling
Verify: data retention policies, training data provenance, geographic processing locations, security certifications, and BAA/DPA availability. Multi-model platforms let you leverage different models for different compliance requirements.