SaaS
Quarterly pricing page
B2B analytics pricing page with quarterly seats, enterprise contrast, and mobile-safe plan comparison.
Toolkit-LLM
The best domestic $0.25 input model in the U.S.
Private by policy. Served domestically. Priced to make frontier premiums look lazy.
Input pricing$0.25 / 1M
Output pricing$1.00 / 1M
Serving postureUS-hosted
Privacy postureNo training
Benchmark prompt
Build a SaaS pricing page with mobile-first breakpoints, quarterly-vs-monthly comparison, and a clear enterprise CTA.
Toolkit result
Toolkit won on 6/8 measured dimensions.
Responsive nav stayed intact, pricing hierarchy held on tablet, and the buyer did not pay a frontier premium to get there.
Input$0.25 / 1M
Output$1.00 / 1M
US routingYes
Latency4.2s
Benchmarks
The benchmark should feel more like a market screen than a pitch.
The benchmark wall is the demo moment. It needs to compare measurable output quality, latency, and price without qualitative fog.
Benchmark wall
Proof, not positioning.
MetricToolkitOpenAIAnthropicGoogleWinner
Mobile breakpoint pass96848186Toolkit
Tablet layout integrity94798083Toolkit
HTML validity100929491Toolkit
CTA clarity91808378Toolkit
Visual hierarchy89828081Toolkit
Template samenessLowMediumMediumMediumToolkit
Output gallery
Real page categories, not decorative concept art.
The gallery should read like evidence from categories buyers actually fund: SaaS, restaurants, local services, dashboards, ecommerce, and real estate.
Local services
Electrician lead page
Local electrician homepage with emergency CTA, trust badges, and clean service-area blocks.
Real estate
Luxury listing funnel
Luxury Miami landing page with hero form, amenity rail, and broker CTA for mobile and tablet.
Restaurant
Reservation homepage
Restaurant homepage with reservation CTA, dinner menu preview, and event booking module.
Dashboard
Ops overview
Operations dashboard with KPI cards, filters, alerts, and a compact tablet breakpoint.
Ecommerce
Product launch page
Product launch page with offer bands, inventory urgency, and compact checkout handoff.
Why Switch
Lower cost. Domestic control. Proof that survives production.
Buyers should understand the offer without decoding the training architecture. The story is price, control, and proof.
The price should make the switch obvious.
Toolkit publishes rates the way the market already thinks. Cheap should be visible before the buyer opens a spreadsheet.
- $0.25 / 1M input tokens
- $1.00 / 1M output tokens
- Quarterly seats with honest rolling limits
Domestic is an operating rule, not a vibe.
Paid traffic stays on approved US-hosted infrastructure or fails closed. Privacy language has to map to a request path.
- US-hosted inference for paid traffic
- Fail closed if no eligible domestic region is healthy
- Retention and routing policies map to the account
Cheap still has to survive comparison.
Cheap only matters if the model still ships useful work. The benchmark wall and gallery exist to prove that.
- Commercial prompts instead of toy demos
- Mobile, tablet, and desktop review
- Methodology published beside the boast
Pricing
Price should read like a market quote.
Toolkit publishes token-priced API rates, 90-day coding seats, and honest rolling limits so the offer stays legible.
Metered API
toolkit-llm-base API
From $0.25 / 1M input
$1.00 / 1M output · published token pricing- OpenAI-compatible endpoint
- Input, output, and cached-input billing
- Usage and spend visible in product
Quarterly seat
Code 90
$20 every 90 days
About $6.67 per month effective- toolkit-code-fast access
- Rolling 5h and 7d limits
- Web, terminal, and IDE surfaces
Quarterly seat
Max 90
$99 every 90 days
Higher throughput and bounded deep-model access- Priority queue
- Larger rolling windows
- Bounded toolkit-code-deep access
Quarterly seat
Ultra 90
$199 every 90 days
Highest self-serve tier for power users- Largest self-serve limits
- Fastest routing priority
- Broad premium coding-lane access
Market quote
Input, output, and cached-input pricing should publish the way buyers already compare models.
Seat limits
Code seats renew every 90 days and use rolling 5-hour and 7-day limits instead of vague fair-use language.
Enterprise posture
Reserved capacity belongs on contract, not as a retail workaround hidden inside self-serve pricing.
Privacy
Trust language has to map to an implemented boundary.
The site should explain the operational reality: no training on customer data, body logging disabled by default, domestic routing for paid private traffic.
No training on customer data
The product promise is service-level, not vague model mythology. Customer inputs should not become future training material.
Prompt and response bodies off by default
Operational metadata is retained for reliability and billing. Body logging is debug-only, explicit, and temporary.
Domestic paid routing
Paid private traffic stays on approved US-hosted infrastructure. If no eligible region is healthy, the system fails closed.
Enterprise boundaries
Retention modes, routing classes, and account policies should be visible, auditable, and separate from public benchmark traffic.
Developer close
Ready to ship, not just to admire.
The close needs one clean request example, model naming clarity, and direct routes into pricing, docs, and the benchmark methodology.
OpenAI-compatible requesttoolkit-llm-base
curl https://api.toolkit-llm.com/v1/chat/completions \
-H "Authorization: Bearer tk_live_xxx" \
-H "Content-Type: application/json" \
-d '{
"model": "toolkit-llm-base",
"messages": [
{
"role": "user",
"content": "Build a SaaS pricing page with strong mobile breakpoints."
}
]
}'Model familytoolkit-llm-basetoolkit-llm-current-na-YYYY-MMtoolkit-llm-politics-na
Toolkit-LLM
The smarter machine to buy.
Run the benchmark, inspect the routing and pricing posture, and decide with numbers instead of brand gravity.