Milo
Historical family-assistant provider with a documented private scheduling RFT experiment.
Partial public-evidence coverage. Exact checkpoint inventory and native inference contracts remain unresolved.
Start with the job your model needs to do. Then narrow by capabilities, provider and price.
Compare every model with the same request.
Estimate = (input tokens × input price + output tokens × output price) / 1,000,000. Include conversation history in input and billed reasoning in output. Input-only decision models ignore the output setting; enter all billed input for one decision, including its question and criteria. Media, tools and discounts are separate.
1 model
| Compare | Model | Input tokensPublished limit* | Output tokensMaximum per response* | Input pricePer 1M tokens | Output pricePer 1M tokens | Cost per question1,000 input + 500 outputEstimated · uncached |
|---|---|---|---|---|---|---|
| Not collected | Calendar-event and list-item objects, including recurrence, update and deletion decisions.output formats | Usage pricingNot collected | Needs rate detailsPrice details ↗ | |||
* Media models show their native limits. A shared context window includes both input and output tokens.
Catalog coverage
Closed-weight model variants and explicitly identified closed-source managed model components across language, code, image, video, audio and other documented modalities. Global provider and historical-release coverage is being expanded; this is not yet exhaustive. 172 company reviews are still open.
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