AI Token Router vs Replicate: how to choose
Across 9 dimensions compared below, AI Token Router comes out ahead on 4 and Replicate on 4, and 1 are a genuine tie -- so the honest answer is that it depends on which dimensions matter to your workload, and both sections naming a winner are on this page rather than only the flattering one.
Replicate: The open-source model marketplace with a cloud API. · Of the 9 dimensions below, Replicate wins 4.
Model catalog size
AI Token Router
24 curated models, 7 servable today
Replicate
Thousands of community-contributed models — the deepest open-weight image and video catalogue anywhere
Bringing your own weights
AI Token Router
Not offered
Replicate
Yes — package and deploy a custom model with Cog
How fast a brand-new open model appears
AI Token Router
Only when we add and validate it
Replicate
Anyone can publish, so new releases show up within days
Cost predictability
AI Token Router
A published rate per model; you can price a request before you send it
Replicate
Many models bill by GPU-seconds of runtime ($0.000025–$0.0112/sec), so a cold start or a slow prompt costs more
OpenAI compatibility
AI Token Router
Yes — point base_url at us and the OpenAI SDK works across all seven endpoints
Replicate
No. Their prediction API is its own shape; you rewrite the call sites
Text-model pricing
AI Token Router
36–43% below the model's official rate, published alongside it
Replicate
Not competitive for text — DeepSeek-R1 is listed at $3.75 per 1M input tokens
Video billing unit
AI Token Router
Per-second rates published, but billed at a fixed 5-second duration during rollout
Replicate
Wan 2.1 at $0.09/sec (480p) and $0.25/sec (720p), billed on actual output length
Platform fee
AI Token Router
None. No minimum spend, no subscription
Replicate
None published
Billing model
AI Token Router
Prepaid credits; balance is a hard ceiling, exhaustion returns 429 insufficient_credits
Replicate
Metered runtime billing — the invoice reflects how long the GPU was busy
Figures as each provider publishes them, last checked September 2026 — method and sources below.
How this comparison was made
- Where the Replicate figures come from
- Every Replicate cell in the table is taken from Replicate's own published material -- their pricing page, their documentation or their rate card -- not from an aggregator, a press mention or our own testing. Where they publish no number for a dimension, the row says so rather than filling the gap with an estimate: 3 of the 9 rows carry a dollar figure they publish, and the rest turn on what the product does or does not do.
- Where our own figures come from
- Our column is the catalogue that prices real requests, including the parts of it that do not flatter us: 7 of the 24 catalogued models are callable today, and the rows say so rather than counting the catalogue as the lineup. The rates behind it were last reconciled with upstream on Sep 2, 2026 and are published in full on the pricing page.
- When this was last checked
- September 2026. Competitor pricing and product scope both move without notice, so every figure here is a statement about that date rather than a permanent one. Anything you are about to make a decision on is worth confirming against Replicate's own site before you make it.
- What is deliberately not compared
- There are no benchmark scores, no latency measurements and no tokens-per-second figures in our column -- not on this page and nowhere else on this site -- because we have not measured them. Where a speed claim appears in the Replicate column it is theirs, repeated as they publish it and not verified by us. An unmeasured quality or speed number would be the easiest thing on this page to invent, which is precisely why there is not one.
- How the winner column is decided
- Each of the 9 rows is marked for one side: 4 to AI Token Router, 4 to Replicate, and 1 a genuine tie. That marking is our judgement and you are free to disagree with it. The figures underneath it are the part you can check without taking our word for anything.
- Corrections
- If a figure here is stale or wrong, tell us and we will change it -- including when the correction runs in Replicate's favour, and including when it costs us a row we currently win. A comparison only ever corrected in its own favour is not being corrected.
When you should choose Replicate
If the model you want is obscure, brand new, or yours, Replicate is the right answer and we are not. Their community push model means a checkpoint that landed on GitHub last week is probably already runnable, their image and video long tail is far past anything we carry, and Cog lets you deploy your own weights behind the same API. The developer experience is genuinely excellent. For exploration, prototyping and creative tooling, that breadth is worth more than a cheaper per-token rate on a model you were not going to use.
When you should choose us
Pick us once the experiment becomes a product and someone has to forecast the bill. GPU-seconds billing means an identical request can cost different amounts depending on how the machine felt that day; a published per-token rate does not. And if your code already speaks the OpenAI SDK, you change a base URL rather than rewriting your call sites.