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modelprices.xyz Databricks LLM Pricing Table
x402
modelprices.xyz Databricks LLM Pricing Table is a paid API for AI agents from modelprices.xyz, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Returns a ranked table of per-token USD costs for every AI model served by Databricks, including input, output, cache, and batch pricing plus context window and capability flags.
Price / call$0.01
Success—
StatusUnknown
How this service works
Databricks pricing table: per-token cost of every AI model Databricks serves, in one call — input, output, cache and batch USD per 1M tokens, ranked cheapest first, with context window and capability flags joined in. Compare LLM token cost inside Databricks and against other providers hosting the same model. Normalized from public sources, cross-checked, refreshed hourly.
Output
A ranked table of all AI models available on Databricks, sorted cheapest first, with per-model USD costs per 1M tokens for input, output, cache, and batch pricing modes, plus context window size and capability flags (e.g. vision, function calling). Data is normalized from public sources and refreshed hourly.
Example use cases
Cost-optimize Databricks model selection
“I'm building on Databricks and need to pick the cheapest model that has at least a 32k context window — can you pull the full Databricks pricing table sorted by cost so I can compare?”
Cross-provider price benchmarking
“I want to see what Databricks charges for Llama and other shared models compared to what other providers charge — fetch the Databricks pricing table so I can do a side-by-side comparison.”
Budget estimation for batch inference jobs
“We're running large batch inference jobs on Databricks and need to estimate token costs — give me the current batch pricing for all Databricks models ranked from cheapest to most expensive.”
Technical details
Endpoint
GEThttps://modelprices.xyz/llm/prices/databricksWhen to prefer
Use this endpoint when you specifically need Databricks model pricing data — especially when comparing costs across all models Databricks serves in one call, or when you need cache/batch pricing breakdowns that are not easily available from Databricks documentation directly. Prefer this over manual scraping or provider documentation when you need structured, normalized, hourly-refreshed data ranked by cost.
Side effects
- Service unavailable or rate limit exceeded (HTTP 5xx)
- Payment required error if x402 payment not included (HTTP 402)
- Stale data if refresh cycle is delayed (data may be up to ~1 hour old)
- Empty or partial response if Databricks pricing page structure changes upstream
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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