When to Call a Vendor Directly Instead of Through the Aggregator: Deciding Per Workload, Not Per Preference
This guide provides a decision framework for choosing between an aggregator API and direct vendor accounts for different workloads. It covers criteria such as cost, access, compliance, features, reliability, and operations, and explains how to allocate workloads per project rather than by preference. The aggregator is ideal for multi-model needs, quick access, and no-KYC scenarios, while direct accounts suit heavy single-vendor usage, enterprise features, and strict compliance.
Why the decision is per workload, not per preference
Teams often debate whether to use an aggregator or go direct to model vendors. The better approach is to decide per workload. Different projects have different requirements for cost, access, features, and compliance. By evaluating each workload against clear criteria, you can use both approaches where each fits best.
Cost efficiency
- Aggregator pricing: You pay the official API price multiplied by 1.3. For many teams, the convenience of one key and multi-model access outweighs the premium. If you contribute keys, you get credited back at official price ×1.1 (or ×1.2 for premium models) in USDC, which can offset costs.
- Direct pricing: Direct accounts often have the same base price but may offer volume discounts, committed use discounts, or enterprise agreements. For very high-volume workloads, these can reduce the effective rate.
- Decision rule: If your workload is price-sensitive and you can commit to a single vendor, evaluate direct discounts. Otherwise, the aggregator’s 1.3× multiplier may be acceptable for the flexibility it provides.
Access and onboarding
- Aggregator: No KYC, pay with USDC on Base, and get instant access to many models. This is ideal for rapid prototyping, hackathons, or regions where vendor onboarding is slow.
- Direct: Requires sign-up, possibly KYC, and payment setup. Some vendors offer free tiers or trial credits that can be valuable for exploration.
- Decision rule: If you need access now or cannot complete KYC, use the aggregator. If you have time and qualify for vendor free tiers, direct accounts can reduce initial costs.
Feature requirements
- Aggregator: Provides a unified API across models, simplifying switching and comparison. However, vendor-specific features (e.g., fine-tuning, custom models, advanced safety settings) may not be exposed.
- Direct: Gives access to the full feature set of each vendor, including beta features, dedicated endpoints, and custom configurations.
- Decision rule: If your workload relies on vendor-specific features, go direct. If you need standard inference across multiple models, the aggregator is sufficient.
Compliance and data handling
- Aggregator: Acts as an intermediary; data flows through the aggregator. For workloads with strict data residency or confidentiality requirements, this may add complexity.
- Direct: You contract directly with the vendor, which may simplify compliance audits and data processing agreements.
- Decision rule: For regulated or sensitive data, prefer direct accounts where you can negotiate terms and understand data flows. For non-sensitive or internal workloads, the aggregator is often fine.
Reliability and support
- Aggregator: Offers redundancy by routing to multiple backends, which can improve uptime. Support is through the aggregator.
- Direct: You rely on a single vendor’s uptime and support. Enterprise support may be available at a cost.
- Decision rule: For mission-critical workloads, consider direct accounts with SLAs, or use the aggregator for its multi-backend failover. Evaluate based on your tolerance for downtime.
Operational overhead
- Aggregator: One API key, one billing relationship, and unified logging. Reduces operational complexity.
- Direct: Multiple accounts, keys, and invoices. Increases overhead but gives more control.
- Decision rule: If your team is small or you want to minimize admin, consolidate on the aggregator. If you have dedicated ops staff, managing direct accounts may be feasible.
How to allocate workloads
- List your workloads (e.g., prototyping, production inference, fine-tuning, sensitive data processing).
- Score each against the criteria above (cost, access, features, compliance, reliability, operations).
- Assign each workload to the aggregator or direct based on the highest score.
- Review periodically as usage scales and vendor offerings change.
Example scenarios
- Rapid prototyping with multiple models: Use the aggregator for instant access and easy comparison.
- High-volume production on a single model: Negotiate a direct contract for potential discounts and dedicated support.
- Workload requiring fine-tuning: Go direct to the vendor offering that feature.
- Sensitive data processing: Use direct accounts to simplify compliance.
- Cost-sensitive with contributor keys: Use the aggregator and contribute keys to offset costs.
Conclusion
The aggregator and direct vendor accounts are complementary tools. By evaluating each workload against concrete criteria, you can choose the right access path for each project, optimizing for cost, features, and compliance without making an all-or-nothing decision.