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Databricks Gpt 5 Nano vs Openai Gpt 4o Mini
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Databricks Gpt 5 Nano has about 2.1× the context window of the other in this pair.
Databricks Gpt 5 Nano has 112% more context capacity (272K vs 128K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Databricks Gpt 5 Nano. Its 272K context fits entire documents without chunking (vs 128K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Databricks Gpt 5 Nano | Openai Gpt 4o Mini |
|---|---|---|
| Context window | 272,000 tokens (272K) | 128,000 tokens (128K) |
| Max output tokens | 128,000 tokens (128K) | N/A |
| Speed tier | Fast | Fast |
| Vision | No | No |
| Function calling | No | No |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | Yes |
| Release date | N/A | N/A |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Databricks Gpt 5 Nano in | Databricks Gpt 5 Nano out | Openai Gpt 4o Mini in | Openai Gpt 4o Mini out |
|---|---|---|---|---|
| Databricks | $0.050/M | $0.400/M | — | — |
| Gradient | — | — | — | — |
Frequently asked questions
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