Coming soon for builders choosing AI models under pressure

Pick the right model
before the spend
turns expensive.

AILeaderboard.live is pivoting into a sharper launch story: a trusted home for official model pricing, decision-ready rankings, and compare workflows that help teams ship faster with fewer pricing surprises.

Join the waitlist Preview prototype

Providers mapped in the prototype

Models already cataloged

Official live pricing feeds in flight

AnthropicCohereDeepSeekGoogle GeminiGroqMistralOpenAIxAIAnthropicCohereDeepSeekGoogle GeminiGroqMistralOpenAIxAI

Launch vision

A better model decision surface

Planned

Rankings snapshotBest value

Claude Sonnet

Official pricing + benchmark context

Score 92.4

Gemini Pro

Wide context + strong value band

Score 90.1

GPT-4.1 mini

Cost-efficient coding fallback

Score 88.7

Pricing provenance

Official first

Provider-owned pricing pages are the source of truth whenever feasible.

Compare flow

CostLatencyContext

The goal is less tab juggling and more fast shortlist decisions.

Why this needs to exist

Teams are still choosing AI models with fragmented, stale, and context-light data.

Provider pricing pages change before comparison sites catch up.

Benchmarks tell you who is smart, not who is worth shipping at scale.

Teams still juggle docs, spreadsheets, and screenshots to compare models.

Product vision

A developer-facing decision system for model pricing, quality, and tradeoffs.

The intent is not to publish more noise. It is to make model choice legible: what it costs, why it ranks where it does, and what you gain by switching.

Official pricing first

One place to trust what a token really costs.

Every model card starts from provider-owned pricing and docs, then layers benchmark context on top.

Decision-ready rankings

Sort by cheapest, fastest, smartest, or best value.

The goal was never another generic leaderboard. It was a way to rank models around the tradeoff you actually care about.

Practical compare flows

Line up cost, context, latency, and quality without tab chaos.

A compare surface turns shortlist debates into a fast product decision instead of a research chore.

Preview

What the product was designed to make obvious in seconds.

These are the workflows we are pitching, not promising as fully launched today.

Snapshot

Signal-rich rankings

Persona views for cheapest, fastest, smartest, and coding.

Official pricing provenance attached to each row.

Coverage badges so teams know what is live vs curated.

Sources

Model cards with receipts

Per-model pricing, limits, benchmark, and freshness details.

Source links attached to the field level instead of hidden in footnotes.

Cost calculator for translating token prices into spend.

Workflow

Compare before you commit

Shortlist up to four models side by side.

Spot the cheapest input rate or widest context instantly.

Move from discovery to procurement without a spreadsheet detour.

Who this is for

Built for the teams who feel model choice as a product and budget decision.

The prototype already maps 8 providers and 11 models. The launch version needs to make that data useful for the people who actually have to pick a model.

For founders

Stop buying model spend with incomplete context.

See cost, quality, and coverage tradeoffs quickly enough to make budget decisions without drowning in benchmark tabs.

For product teams

Shortlist the right model for the job, not the hype cycle.

Compare models by the workflow that matters now: speed, value, coding performance, or raw intelligence.

For platform engineers

Keep the sourcing layer auditable.

Pricing provenance, limits, and benchmark references are meant to stay visible instead of being lost in hand-maintained spreadsheets.

Trust model

Built around provider-owned pricing, not scraped guesswork.

The credibility angle is simple: pricing comes from official provider-owned pages whenever possible, benchmark context stays explicit, and coverage gaps stay visible.

Official pricing provenance as the default trust layer.

Benchmark quality signals separated from pricing truth.

Coverage badges that show what is live, curated, or still incomplete.

Compare flows that move from research to decision without spreadsheet glue.

Launch plan

A tighter public roadmap than “full product coming someday.”

The site should now be explicit about where the product is: polished pitch first, early access next, broader live coverage after that.

Tighten the landing story

Lead with the core promise, show the intended product shape, and collect real waitlist demand.

Ship early access workflows

Open the ranking, compare, and citation-backed pricing views to the first cohort of users.

Expand live coverage

Increase official pricing and limits coverage while keeping benchmark context explicit and separate.

Early access

Join the waitlist for first access when the real product ships.

This signup is for early access and launch updates, not a newsletter treadmill. We will only use it to announce product progress and the initial release.

First access to the launch build

Product progress notes when there is something real to share

A cleaner pricing and compare workflow than the current market offers

Get first access.

Drop your email to hear when the product opens up.

FAQ

A cleaner pitch, with less pretending.

Is the full product live today?

Not yet. The current site is a prototype plus a pitch for the product we wanted to finish, and the waitlist is for early access when it is ready.

What makes this different from a benchmark-only leaderboard?

The product vision puts official pricing provenance, cost awareness, and compare workflows at the center instead of treating them like side data.

What will waitlist subscribers get?

First access to the product, progress updates, and launch notes when the pricing and ranking workflows are ready.

Pick the right modelbefore the spendturns expensive.