TL;DR in plain English
- AIPriceCompare lists a very large set of public AI models on a single page and exposes two primary selectors, Prompt Media Type and Count: https://aipricecompare.saposs.com/ (see model families such as GPT, Gemini, Claude, Grok, Qwen, Mistral in the raw list).
- Treat the site as a rapid discovery layer to produce a reproducible shortlist (cheapest / balanced / premium) before you run billable tests or start procurement.
- Quick actions: pick your primary media type, enter realistic monthly counts, and capture three candidate models per flow (screenshots or copied rows) to attach to a ticket or PR.
Methodology note: claims about the page controls and the long model list are taken from the site snapshot: https://aipricecompare.saposs.com/.
What changed
AIPriceCompare aggregates a broad list of public models on one page and lets you filter by two main controls: Prompt Media Type and Count. The page includes many specific model names and families (for example: GPT-5.2, GPT-4.1, o4-mini, GPT-image-1.5, Gemini variants, Grok, Claude, Qwen, and Mistral entries) — see the raw list at https://aipricecompare.saposs.com/.
Practically, this converts a manual, vendor‑by‑vendor hunt into a short discovery session where you can generate a reproducible shortlist. The site is a discovery tool, not a billing engine; always confirm final prices, billing units, and contracts with each provider.
Why this matters (for real teams)
Teams with limited time and budget benefit from a fast, repeatable discovery step that yields a shortlist and input volumes to test. A short, documented shortlist reduces time-to-decision and improves auditability for reviewers.
Concrete benefits:
- Faster candidate selection: one UI to find model names and filter by media type (start at https://aipricecompare.saposs.com/).
- Reproducible decisions: save screenshots or copied rows to a ticket or pull request so reviewers can repeat your steps.
- Safer migrations: shortlist → small staged experiments → wider rollout, minimizing the risk of surprise bills.
Note: the comparator lists models and filter controls; confirm billing units (tokens vs. calls vs. per‑image) and regional hosting with providers before committing.
Concrete example: what this looks like in practice
Scenario: a two‑person team runs two flows: chat (Text) and image generation (Image). They need low cost for chat and premium quality for a small set of images.
Steps they take using the comparator:
- Open https://aipricecompare.saposs.com/ and set Prompt Media Type = Text, enter expected monthly calls = 10,000.
- Capture three candidates: cheapest, balanced, premium (3 models total for Text).
- Repeat for Prompt Media Type = Image, enter monthly images = 2,000, capture three image models.
- Attach screenshots and a one‑paragraph rollout plan to the ticket.
Illustrative planning table — numbers are estimates and must be validated with provider billing:
| Model (example) | Media | Unit | Monthly vol (example) | Example cost (illustrative) | Latency (illustrative) | Rollout decision | |---|---:|---:|---:|---:|---:|---| | gpt-4.1-mini | Text | per call | 10,000 | $600 (est.) | 120 ms (est.) | Use for non‑critical responses | | o4-mini | Text | per call | 10,000 | $420 (est.) | 90 ms (est.) | Trial on subset (10%) | | GPT-image-1.5 | Image | per image | 2,000 | $1,200 (est.) | 300 ms (est.) | Premium assets only |
Example rollout plan (numbers illustrative): run a 10% traffic experiment for 7–14 days, measure latency (ms), error rate (%), and a small user‑quality score.
What small teams and solo founders should do now
Concrete, finishable steps you can complete in an afternoon using the comparator (https://aipricecompare.saposs.com/):
- Rapid shortlist (30–60 minutes)
- Open the comparator and select the 1–2 flows that drive most spend or user value (e.g., Chat/Text, Image). Enter estimated monthly counts (example: 10,000 text calls; 2,000 images).
- Capture exactly 3 candidate models per flow (cheapest, balanced, premium). Save screenshots or copy the rows into a single ticket or a one‑page PR.
- One‑hour, reversible test (deploy in 1 day)
- Implement the cheapest candidate behind a single feature flag or route so you can toggle back in <1 minute.
- Send a controlled sample: 5–10% of traffic for 7–14 days. Record three KPIs: latency (ms), error rate (%), and a simple user quality score (1–5 scale).
- Simple cost + quality gate (decision rule)
- Define pass/fail thresholds before the test: for example, rollback if error rate increases by >5% or median latency rises by >100 ms, or user quality drops by ≥0.5 points.
- Assign an owner and add explicit rollback steps in the ticket.
Bonus low‑friction tips
- Keep each shortlist to 3 models per flow, and document the exact input counts you entered into the comparator.
- Use 1 hour to shortlist, 7–14 days to evaluate, and aim for a full decision in 2–4 weeks.
- Capture comparator evidence: https://aipricecompare.saposs.com/.
Regional lens (FR)
Use the comparator to build a shortlist, then validate France / EU specifics off‑tool. The comparator supplies model names and filters; it does not confirm hosting, VAT, or invoicing details.
Suggested France / EU worksheet columns to validate after you make the shortlist:
- Provider / Model (from https://aipricecompare.saposs.com/)
- Media type (Text / Image / Audio / Video)
- EU hosting (yes/no) — confirm with provider
- VAT treatment (estimate) — confirm with invoices (example VAT +20% for France)
- Invoicing / PO support (yes/no)
- Estimated monthly cost (EUR) — convert after provider confirmation
- Recommended deployment region
Practical note: confirm hosting, data residency, and VAT handling with providers; do not treat comparator numbers as final invoices.
US, UK, FR comparison
The comparator gives a unified model list; operational differences across regions (invoicing formats, VAT, data residency guarantees) still need provider confirmation.
High‑level cross‑region checklist:
- Confirm invoicing / PO support and whether VAT applies for France / EU.
- Validate region availability and latency by running a small test; prefer a region that keeps median latency under your threshold (example thresholds: <150 ms for chat, <300 ms for images).
- Ask providers for invoice samples and hosting locations once you have model names from the comparator.
Decision table template to copy into procurement (populate from comparator + provider replies):
| Model | Listed source (comparator) | Region availability (confirm) | VAT / Invoicing impact | Recommended region | |---|---:|---:|---:|---| | [model name] | https://aipricecompare.saposs.com/ | US / EU / UK (confirm) | +VAT? (confirm) | EU/US/UK (decision) |
Technical notes + this-week checklist
Assumptions / Hypotheses
- The comparator page exposes a broad model list and two main selectors: Prompt Media Type and Count (source: https://aipricecompare.saposs.com/).
- Any dollar amounts, latency numbers, percent traffic splits, and sample sizes in this document are illustrative planning estimates and must be validated with provider billing rules and tests.
- Billing units differ by provider (tokens vs calls vs per‑image). Confirm the unit and per‑token or per‑call price with the provider before committing.
Methodology: I used the site snapshot to confirm controls and the long model list (https://aipricecompare.saposs.com/).
Risks / Mitigations
- Billing mismatch (tokens vs calls) → Mitigation: run a small billable test (example: 1,000 calls or 100k tokens) and reconcile with the invoice.
- Latency or quality regression → Mitigation: staged rollout (5–10% traffic) with feature‑flag rollback and KPI monitoring (latency in ms, error rate in %).
- Compliance / data residency (FR / EU) → Mitigation: require explicit confirmation of EU hosting and include VAT in cost projections (example +20% VAT for France).
Next steps
- [ ] Run a 1‑hour shortlist session on https://aipricecompare.saposs.com/ and capture 3 models per flow.
- [ ] Create a procurement worksheet containing VAT assumptions and hosting flags; populate it from the comparator shortlist.
- [ ] Configure a staged experiment behind a feature flag, test 5–10% traffic for 7–14 days, and measure latency (ms), error rate (%), and user quality.
- [ ] Decide within 2–4 weeks and confirm final prices, billing units (tokens/calls/per‑image), and hosting with providers: https://aipricecompare.saposs.com/.