AI Model Price & Capability Monitor - Models.dev

Provider/model identities connect price, context and capability changes.

Monitor Models.dev model pricing, context limits and capabilities by provider. Compare catalog observations with source attribution and structured exports.

Start in under a minute

1. Paste provider ids into the first input field, or use the included sample.
2. Keep the five-result limit for your first run and choose Start.
3. Open Observations, Scope and diagnostics, or the Readable run report in Output. Export CSV or JSON from the dataset.

{
  "providers": [
    "anthropic"
  ],
  "maxResults": 5,
  "itemsPerQuery": 3
}

No source account, API key, paid proxy or extra subscription is required for these public endpoints. Source availability and rate limits still apply.

Who this helps

AI engineering and FinOps teams maintaining a model-selection inventory.

A real output sample

Captured in a successful bounded Apify run; arrays and long text are shortened for readability. Values are snapshots, not live guarantees.

{
  "recordId": "anthropic/claude-fable-5",
  "title": "Claude Fable 5",
  "providerId": "anthropic",
  "modelId": "claude-fable-5",
  "inputUsdPerMillion": 10,
  "outputUsdPerMillion": 50,
  "contextTokens": 1000000,
  "outputTokens": 128000,
  "toolCall": true,
  "reasoning": true,
  "url": "https://models.dev/",
  "observedAt": "2026-10-18T15:20:25.564Z",
  "comparisonStatus": "not_requested"
}

What you receive

One row per unique confirmed observation. Every row includes a stable recordId, title, source URL and observation time.

Field	Meaning
providerId	Source-reported provider id; missing optional values remain null.
modelId	Source-reported model id; missing optional values remain null.
inputUsdPerMillion	Source-reported input usd per million; missing optional values remain null.
outputUsdPerMillion	Source-reported output usd per million; missing optional values remain null.
contextTokens	Source-reported context tokens; missing optional values remain null.
outputTokens	Source-reported output tokens; missing optional values remain null.
toolCall	Source-reported tool call; missing optional values remain null.
reasoning	Source-reported reasoning; missing optional values remain null.
comparisonStatus	not_requested, new, changed or unchanged
changedFields	Fields different from your last saved observation
previous	Previous saved source values when comparison is enabled

Saved comparisons

Enable Compare with saved observations, choose a snapshot name, and reuse the same input scope. The first run establishes history; it cannot report changes before that point. Enable Save only new or changed observations for later runs if you want a change-only export. An unchanged run can correctly save zero rows.

Only confirmed saved rows advance history. A bounded or failed run never establishes that a missing record was deleted. History is stored in a named key-value store in the running user's account. Use one writer per snapshot: do not overlap runs against the same snapshot. Change the snapshot name when starting a new independent workflow.

Scope and limitations

Models.dev is a community-maintained catalog, not a provider quote or benchmark. Prices are listed USD per million tokens; missing values stay null and zero is preserved. Cached pricing, negotiated tiers and runtime availability need separate verification. No model inference calls are made.

At most ten input values and five hundred saved rows per run. Each input uses a bounded source response. Shared feeds are cached within the run; public documents may require a robots.txt request. Requests are paced. Responses are capped at 8 MiB and share the run deadline. No authentication bypass or code execution is performed. HTTP 429 stops further requests. Source failures appear in SUMMARY and the HTML report, never as paid data rows.

Pricing

The configured base price is $0.001 per saved observation, plus $0.00005 per start at the default memory. Five observations cost $0.00505 at that base rate. Applicable plan discounts and the Store pricing panel govern actual charges. Set a maximum charge in Run options. Diagnostics, reports and unchanged skipped rows are not dataset result events.

A practical workflow

AI engineering and FinOps teams maintaining a model-selection inventory. Provider/model identities connect price, context and capability changes. Start with the included five-result sample, review source links, then save your own scope as an Actor task. Use a named snapshot for repeat runs and keep source metadata with downstream exports.

Make it recurring

Save an Actor task with your inputs, then attach an Apify Schedule. For change detection, keep the same snapshot and avoid overlapping runs. Add an integration to deliver results to your own spreadsheet or workflow. No external delivery is enabled automatically.

Frequently asked questions

Why did a repeat run return zero rows? With change-only mode enabled, unchanged records are skipped. Check SUMMARY to distinguish this from empty matches, limits, or an upstream error.

Does a missing record mean it was deleted? No. Searches cover a bounded source window; a record can move outside it. Missing records never become deletion claims.

Can I export or integrate the data? Yes. Use Apify dataset exports for CSV/JSON, or the Actor API and your own integrations. No external message or delivery is enabled by default.

Examples

1. Provider IDs: anthropic — A bounded anthropic observation sample. Review source evidence and export rows or compare them in a later run.
2. Provider IDs: google — A bounded google observation sample. Review source evidence and export rows or compare them in a later run.
3. Provider IDs: deepinfra — A bounded deepinfra observation sample. Review source evidence and export rows or compare them in a later run.

Source and support

Official source documentation. This independent Mayd IT tool is not affiliated with the source platform. Open an Actor issue with the run ID and expected result, or contact bmay@mayd-it.com. Never include credentials.

Workflow library and related tools

Product guide · Workflow and real output · All data tools · Use with AI