Revenue rank on Toolify.
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OpenRouter
Unified interface for LLMs, offering access to various models and prices with better uptime.
Market Data Board
17.3M monthly avgRead the market signal first
Traffic and channel data use SimilarWeb methodology; keyword metrics come from DataForSEO; ranking and revenue signals come from Toolify. Evidence snapshot 2026-07-06.Estimated monthly traffic (directional, not audited revenue).
Primary market category.
Non-brand search share indicates how much task-led discovery may exist.
Channel mix share of visits
Top countries traffic share
Competitor traffic three-month visits
Keyword Evidence
5 keywordsTask-keyword opportunity table
Score is Shipsite's opportunity score, blending the metrics on the left. Auditable inputs are Volume, KD, CPC, allintitle and KGR.| Keyword | Volume | KD | CPC | KGR | Score |
|---|---|---|---|---|---|
| llm api pricing comparison | 140 | 12 | $8.89 | — | 51 |
| cheapest llm api | 260 | 10 | $10.36 | — | 58.7 |
| claude vs gpt cost per token | — | — | — | — | 0 |
| llm token cost calculator | 20 | — | $8.55 | — | 17.6 |
| openrouter free models | 1.6K | 9 | $7.76 | — | 78.7 |
KGR is shown once allintitle sampling lands for a keyword; Volume, KD and CPC are already auditable.
Product Evidence
0 capturesProduct and pricing captures
Only the product's own public pages are shown here.No public product screenshots passed the current evidence gate.
Strategy Frameworks
Business canvases and strategic analysis
Nine grounded views derived from the measured product, traffic, keyword and market evidence: Business Model Canvas, Value Proposition Canvas, SWOT, 3C, 4P, PEST, Porter's five forces, the customer empathy map and the customer journey map — opened by the insight brief.One-line positioning
OpenRouter: one API for hundreds of LLMs, with routing, fallback, and unified billing.
Target user
Developer building AI products, also the buyer, selecting models to control cost.
Category role
An LLM gateway whose public pricing table is itself used as industry infrastructure.
THE VERDICTOpenRouter is a thin-margin reseller whose real moat is its pricing table's SEO value, not routing tech.
Non-obvious insights
- Organic search is 24%, but the top-volume query is "free models," suggesting traffic skews toward low-paying users.
- openai.com gets far more traffic; OpenRouter's is mostly habitual direct visits, so growth depends on deliberate adopters.
- China is 8.35% of traffic yet the payment stack is Stripe-only, implying unevidenced alternate payment workarounds.
Mechanisms worth studying
- A pure aggregator with no proprietary supply can build a defensible asset by making its price list a public utility.
- Zero-subscription billing cuts evaluation friction (seen in direct traffic) but exposes margin to supplier price wars.
01 · Business Model Canvas
Business Model Canvas
- Underlying LLM model providers serve as supply partners (unnamed).
- No evidence of named channel or ecosystem partners.
- Stripe serves as the payment-processing partner.
- Stripe-only integration supports a top-up prepaid-credit wallet, not recurring subscription billing.
- Maintaining routing and automatic fallback across multiple model providers.
- Continuously updating live pricing data across providers for accuracy.
- Capturing "free models" and price-comparison search intent via SEO.
- With Direct/search dominant and near-zero paid share, growth runs on pricing-comparison SEO content, not ad spend.
- As a multi-provider resale gateway, it must maintain per-provider commercial terms, rate-limit compliance, and secure BYOK key custody.
- One API covering hundreds of models, with routing/fallback and unified billing.
- No subscription; pay-as-you-go by token via top-up credits, with some free-tier models.
- No evidence of emotional or social/brand value; a research gap.
- Unified billing and automatic fallback reduce the risk of single-model outages.
- Aggregates many model providers; the live pricing page drives organic search traffic.
- Self-service platform; no evidence of dedicated account management.
- No evidence on support channels or service model; a research gap.
- No retention or repeat-usage data; revisit rate under the top-up model is unknown.
- The public live pricing table increases pricing transparency and builds trust.
- Integrate once to call multiple LLMs, using routing/fallback to manage uptime and cost.
- Buyer is the developer/team who tops up the account; no separate admin role evidenced.
- Developers arrive comparing prices, e.g. searching "free models" or "cheapest llm api.".
- Pain: many separate LLM integrations; gain: one API/bill with routing and cost visibility.
- Commercial value comes from token resale markup and a 5% BYOK fee, scaling with usage.
- Multi-model routing infrastructure and aggregated live pricing data.
- 17.3M monthly visits, rank 24, with organic traffic from "free models" keyword.
- Stripe payment rails and prepaid top-up balances form a financial float.
- 17.3M visits at rank 24 is a smaller, high-intent developer-usage brand asset, not a consumer browsing audience.
- Needs ongoing engineering to keep routing/fallback live across hundreds of models and sync pricing to real-time provider changes.
- Direct (60.8%) and organic search (24%) dominate — developers treat it as a bookmarked tool, not an ad-driven visit.
- Organic search is 24.32% of traffic; price-comparison keywords drive consideration.
- Transactions happen via Stripe by topping up account credit.
- Delivered via API; no evidence of other distribution channels.
- No evidence on post-purchase service channels; a research gap.
- R&D investment in the routing/fallback/unified-billing system.
- Underlying per-token costs paid to model providers before markup resale.
- Ops cost of keeping pricing data accurate and routing reliable.
- Acquisition cost from price-comparison SEO content and Stripe processing fees.
- Thin token-resale markup is further squeezed by Stripe fees on frequent small top-ups plus the 5% BYOK cut.
- Charges via token resale markup.
- BYOK usage takes a 5% cut as an additional revenue stream.
- [N/A] No further service/licensing revenue stream evidenced.
- Aggregated cross-model usage data could plausibly support an enterprise analytics upsell, but only token markup and the 5% BYOK fee are evidenced.
02 · Value Proposition Canvas
Value Proposition Canvas
Product side · Value Map
- A live, publicly browsable pricing table aggregating token costs across providers.
- A routing/fallback engine paired with a unified Stripe top-up billing wallet.
- A unified top-up balance replaces per-provider invoices, directly relieving billing fragmentation.
- Automatic fallback routing relieves outage risk without app-side failover code.
- Continuously synced pricing data turns cost comparison from manual research into a lookup.
- BYOK lets high-volume users keep their own provider discounts while paying only 5% for unified routing.
Customer side · Customer Profile
- Integrate once to call hundreds of LLMs without maintaining separate provider accounts and bills.
- Feel in control of AI infra cost, not locked into a single vendor's roadmap or pricing.
- Fragmented per-provider billing makes real-time cross-model cost tracking hard, evidenced by token-cost-calculator demand.
- An app hardcoded to one provider's API breaks outright during that provider's outage or rate limit.
- One live pricing table lets users compare costs across providers without visiting each vendor site.
- Routing/fallback keeps the app available even when one underlying provider goes down.
03 · SWOT
SWOT Matrix
- The always-fresh public pricing table pulls organic search (24.32%) without dedicated content marketing spend.
- Direct traffic at 60.8% signals a habitual, decided user base rather than one-off visitors.
- The "hundreds of models" breadth behind one integration is a comprehensiveness edge no single provider offers.
- Resale-markup model has thin margins, squeezed further by price transparency.
- No proprietary model; core supply depends entirely on third-party providers.
- High-volume "free models" keyword may attract low-monetization users.
- Price-comparison queries like "cheapest llm api" offer content opportunity.
- "Token cost calculator" demand is small but underserved.
- 60.8% direct traffic suggests room to grow repeat-visit and expansion revenue.
- openai.com's far larger traffic suggests developers may bypass aggregation and go direct.
- huggingface.co and ollama.com offer alternative paths to model access.
- The resale model depends on providers' continued access terms, an external risk.
04 · 3C / 05 · 4P
3C Analysis & 4P Mix
- Core capability is real-time syncing of routing/fallback logic and pricing across hundreds of independent providers.
- Its economics are pure percentage resale markup plus a 5% BYOK fee, with no subscription buffer against volume swings.
- Structurally sits between developers and dominant suppliers like openai.com, at a fraction of their scale.
- Integrate once to call multiple LLMs, using routing/fallback to manage uptime and cost.
- Pain: many separate LLM integrations; gain: one API/bill with routing and cost visibility.
- Commercial value comes from token resale markup and a 5% BYOK fee, scaling with usage.
- Same-job: huggingface.co also offers a multi-model inference entry point.
- Same-budget substitute: openai.com can be used directly instead.
- Traffic-adjacent/unknown: ollama.com takes a local-deployment route; relationship unclear.
- Core product is a single API gateway to hundreds of LLMs, plus a public live pricing table.
- BYOK lets users route their own provider keys through it for a flat 5% fee instead of pure token resale.
- No subscription; pay-as-you-go via token top-up credits, with some models free at limited usage.
- BYOK usage is charged a flat 5% fee layered on top of the underlying provider's own price.
- Distribution is overwhelmingly direct (60.8%) plus organic search (24.32%), with essentially no paid spend in the mix.
- The product is reached only via its own API/dashboard, not embedded elsewhere, consistent with its 4.15% organic-social share.
- Organic search is 24.32% of traffic, and "free models" keyword volume of 1,600 shows real demand.
- The live pricing table itself acts as a content magnet, driving direct and organic traffic.
06 · PEST
PEST Macro Environment
- Export-control restrictions on specific model providers would directly damage a routing product whose value is breadth.
- China is 8.35% of traffic; tightening cross-border AI-service access rules would directly hit that geography.
- The thin resale markup is directly exposed to price wars among model providers compressing what's left to mark up.
- Buyers are AI-product developers, so a startup-funding pullback directly shrinks the token volume it resells.
- Queries like "cheapest llm api" show multi-model price-shopping is now normal, directly fueling demand for a router.
- Its public price table is used as an industry reference even by non-customers, reflecting demand for pricing transparency.
- The ongoing proliferation of LLMs from many providers is the direct feedstock for its "hundreds of models" pitch.
- Falling per-token model costs industry-wide shrink the absolute dollar markup even at a stable percentage rate.
07 · Five Forces
Porter's Five Forces
Building a routing proxy is technically easy, but the live comprehensive pricing table and provider relationships raise the real barrier.
Suppliers like openai.com are also direct competitors, able to both raise prices and build their own unified billing to bypass it.
Developer switching cost is near zero; openai.com's traffic dwarfs OpenRouter's, making direct-provider substitution always viable.
Going direct to openai.com or self-hosting via ollama.com both avoid the resale markup entirely.
huggingface.co offers a same-job multi-model inference entry point, a rival at a lower traffic tier.
08 · Empathy Map
Customer Empathy Map
Primary personaAn indie/startup developer building an AI product who needs to fail over and price-compare across LLMs without rewriting integration code.
- "What's the cheapest LLM API for my use case?".
- "Are there any OpenRouter free models I can test with?".
- Worried about locking the whole app into one provider's SDK/API format.
- Wants to nail down real production cost across providers before committing.
- Swaps the model ID in the API call to benchmark latency/cost/quality across providers without rewriting code.
- Tops up a prepaid credit balance via Stripe instead of setting up a monthly subscription.
- Relieved not to need separate contracts/accounts for every model provider.
- Anxious that markup and BYOK fees will eat into thin margins once usage scales.
09 · Journey Map
Customer Journey Map
Discover01
Evaluate02
Onboard03
Retain04
Advocate05
Emotion curve (inferred)
Key behavior
Lands directly on openrouter.ai, often via dev-community word-of-mouth or a shared docs link.
Compares OpenRouter's markup and free models against calling openai.com directly.
Tops up via Stripe and points an existing API call at an OpenRouter model ID.
Relies on routing/fallback in production to stay online during a provider outage.
Shares the OpenRouter pricing table or comparison links when discussing LLM costs in dev communities.
Friction / drop-off
Organic social is only 4.15%, so non-developer audiences rarely discover the product.
For single-provider use cases, the incremental value of "one API" is a harder sell resting only on routing/fallback.
BYOK users must additionally manage their own provider keys and absorb the 5% fee, adding setup complexity.
As usage scales, the cumulative resale markup becomes visibly significant against provider list price.
Referrals are only 6.86% of the channel mix, converting word-of-mouth to visits far less than direct/search.
Product lever
The publicly indexed live pricing table itself pulls organic-search traffic (24.32%) from price shoppers.
No-subscription, pay-as-you-go top-up removes commitment risk during evaluation.
Unified billing collapses multiple provider signup/payment flows into a single top-up.
Once production traffic depends on fallback routing, it becomes a real switching cost unlike casual trial use.
The pricing table's public utility to non-customers generates passive, citation-style advocacy.
EVIDENCE BOUNDARIESNo evidence of team/org account structure to assess enterprise-buyer scale.; No retention or repeat-purchase cohort data on post-topup behavior.; Per-model markup percentages undisclosed beyond the 5% BYOK cut.; No profile of which industries/company sizes are the top spenders.
Sources & Method
Evidence boundaries
Official website: https://openrouter.ai
Ranking and revenue signals come from Toolify; traffic, channels and country distribution use SimilarWeb methodology; keyword Volume, KD and CPC come from DataForSEO. This is a research snapshot, not investment advice.
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