Provider

Databricks API Cost Calculator and Comparison

Every Databricks model, side by side — current API rates, context window, benchmarks, and a live calculator that ranks them at your exact workload. 1 active model, 1 with public pricing, starting from $0.75/1M input. Prices refreshed daily from Databricks’s official pricing page.

Models tracked

1

Active

1

With public pricing

1

Cheapest input

$0.75/1M

As of April 2026, Databricks offers 1 active AI model via API, starting at $0.75/1M input tokens. The most context-rich model handles up to 33K tokens. All prices are in USD per 1 million tokens; output tokens cost more than input on every model.

Interactive

Calculate your Databricks API cost at your workload.

Set your workload — every priced model ranks in real time.

Adjust the workload

Every model below updates in real time.

1,00010,00050,000250,0001M10M

Ranked by your monthly bill

No models with public pricing available to compare right now.

Pricing at a glance

Blended $/1M tokens across the lineup.

Blended price uses a 3-to-1 input/output ratio — a common industry standard. Green bar = cheapest.

Every model

Every Databricks model — pricing, context & capabilities.

ModelContextInput /1MOutput /1M
DBRX33K$0.75$2.25

FAQ

Databricks — questions we see most.

Pricing patterns, best-known use cases, and how this provider stacks up.

Get instant answers from our AI agent

Databricks API pricing ranges starting at $0.75 per 1M input tokens. Output tokens cost more than input on every model. Prices are per 1 million tokens (1M ≈ 750,000 words). Use the calculator above to estimate your monthly spend at your actual workload.
DBRX is the lowest-priced Databricks model with public pricing at $0.75/1M input tokens. It suits high-volume tasks where cost matters most — classification, extraction, summarization, and similar workloads that don't need frontier reasoning.
DBRX is Databricks's highest-tier model at $0.75/1M input. It delivers the most sophisticated reasoning, instruction-following, and nuance. For workloads that don't require frontier performance, a mid-tier model typically cuts inference costs substantially.
Databricks does not currently list cached or batch pricing in our database. Check Databricks's official pricing page for the latest discount tiers — providers add these options regularly.
Databricks has historically adjusted prices when launching new model generations, often cutting rates to stay competitive. Buzzi.ai snapshots pricing daily — you can subscribe to price-drop alerts on any Databricks model using the "Alert me" button on its detail page.
Use the main comparison wizard to run the same calculator across Databricks, Anthropic, Google, Meta, Mistral, and 20+ other providers. Set your exact workload and get a ranked cost chart in under a minute.

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