Compare
Databricks Gpt 5 Nano vs GPT-5.6 Sol Pro
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.
Model
GPT-5.6 Sol Pro
Context window
1.1M
1,050,000 tokens · ~788K words
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.
GPT-5.6 Sol Pro has about 3.9× the context window of the other in this pair.
GPT-5.6 Sol Pro has 286% more context capacity (1050K vs 272K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use GPT-5.6 Sol Pro. Its 1050K context fits entire documents without chunking (vs 272K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Databricks Gpt 5 Nano | GPT-5.6 Sol Pro |
|---|---|---|
| Context window | 272,000 tokens (272K) | 1,050,000 tokens (1050K) |
| Max output tokens | 128,000 tokens (128K) | 128,000 tokens (128K) |
| Speed tier | Fast | Balanced |
| Vision | No | Yes |
| Function calling | No | Yes |
| Extended thinking | No | Yes |
| Prompt caching | No | Yes |
| Batch API | No | No |
| Release date | N/A | Jul 2026 |
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 | GPT-5.6 Sol Pro in | GPT-5.6 Sol Pro out |
|---|---|---|---|---|
| Databricks | $0.050/M | $0.400/M | — | — |
Frequently asked questions
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Example: a multi-turn chat session
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