Here's a template for comparing quotes side by side

I've been on both sides of the vendor quote table lately—negotiating renewals for our stack and getting new quotes for some embedding and search tools. It's always a challenge to compare apples to apples when every proposal has a different layout, metric, and packaging.

I started putting together a simple template to standardize the data points I need to see. The goal is to force a side-by-side comparison on the actual variables that matter for cost and value, not just the headline price.

Here’s the core of what I ask for in every quote now, and I fill it out myself if the vendor doesn't:

* **Service/Product:** The specific offering (e.g., "Vector Index - Pro Tier", "Embeddings API - Batch Processing").
* **Pricing Model:** Flat fee, per-user, per-API-call, per-GB stored, or hybrid.
* **Included Volume/Month:** The baseline allowance (e.g., 1M vectors, 500K embedding tokens, 10K search queries).
* **Overage Rate:** The exact cost when you exceed the included volume. This is often where the real cost hides.
* **Key Limitations:** Rate limits, maximum vector dimensions, supported distance metrics, or uptime SLA.
* **Contract Term & Commitment:** Monthly, annual, multi-year, and any discount tied to commitment.
* **Implementation/Onboarding Cost:** One-time fees, if any.
* **Total First-Year Cost:** My own calculated estimate based on projected usage, including overage.

Having this structure has made negotiations much more concrete. Instead of "your price is high," it becomes "your overage rate on queries is 3x higher than Vendor B's, despite a lower base fee."

What other columns or data points do you all find critical to include when comparing quotes, especially for API-driven or search services? I'm thinking of adding a column for "data export/egress costs" after a recent surprise.

—Eli