3-year cost calculator
Pre-filled for Google Gemini → OpenAI GPT. Adjust every figure with your own numbers.
Every figure here is an illustrative estimate, not a vendor quote. Defaults are editable starting points compiled from public information; real, binding pricing comes from the vendor or an authorized distributor. See our methodology.
All figures are illustrative and fully editable — adjust the cost-per-M tokens and migration inputs with your own numbers. Not guaranteed vendor pricing (defaults reviewed May 2026). For a binding quote, use the request form below to reach an authorized distributor or partner.
Quick comparison: Google Gemini vs OpenAI GPT
Common trade-offs teams weigh when staying on Google Gemini versus moving to OpenAI GPT. These are general, commonly-reported considerations — not statements of fact about any vendor — so check them against your own contract and the vendors' current terms.
- Already in production — no migration effort or risk
- Mature ecosystem with vendor support and SLAs
- Per-token billing at scale
- Tied to the Google Cloud ecosystem
- Model lifecycle and quota limits
- Ongoing per-token api cost to budget for
- Commercial option with vendor support and SLAs
- Cost model: Per-token API
- Requires a migration (~12 weeks, low effort)
- Per-token API cost
Why teams evaluate alternatives to Google Gemini
Reasons commonly cited by users and in public industry coverage for re-evaluating Google Gemini. These are general, reported considerations — not statements of fact about Google — and may not reflect your situation or the vendor's current terms. Verify against your own contract before deciding.
- Per-token billing at scale
- Tied to the Google Cloud ecosystem
- Model lifecycle and quota limits
The migration plan
Roughly 12 weeks for a mid-size estate, in six phases.
Tooling & automation
Deploy the open model on self-managed inference (vLLM/TGI) behind an OpenAI-compatible gateway, migrate prompts and evaluation suites, A/B test for quality, and shift traffic by workload.
OffVendor's wizard pre-fills these scripts with your environment — inventory export, disk/schema conversion, bulk provisioning, and validation.
Frequently asked
Is migrating from Google Gemini to OpenAI GPT worth it?
For most teams facing rising Google Gemini costs, yes — OpenAI GPT (per-token api) typically lowers 3-year total cost of ownership, though the right answer depends on workload complexity and in-house skills. Use the calculator to model your own numbers.
How long does a Google Gemini to OpenAI GPT migration take?
A typical mid-size estimate is around 12 weeks across six phases — discovery, design, pilot, waved production migration, validation, and decommission. Larger or more complex estates take longer.
What tools are used to migrate from Google Gemini to OpenAI GPT?
Deploy the open model on self-managed inference (vLLM/TGI) behind an OpenAI-compatible gateway, migrate prompts and evaluation suites, A/B test for quality, and shift traffic by workload.