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Databricks Gpt Oss 120b vs Fw Gpt Oss 120b
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.
Same context window size for both models.
Databricks Gpt Oss 120b and Fw Gpt Oss 120b have identical context windows (131K tokens). Databricks Gpt Oss 120b is 9% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
RAG / high-volume retrieval
Use Databricks Gpt Oss 120b. Input tokens are 9% cheaper — critical when sending large retrieved contexts.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Databricks Gpt Oss 120b | Fw Gpt Oss 120b |
|---|---|---|
| Context window | 131,072 tokens (131K) | 131,072 tokens (131K) |
| Max output tokens | 131,072 tokens (131K) | 131,072 tokens (131K) |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | No | Yes |
| Extended thinking | No | Yes |
| Prompt caching | Yes | Yes |
| Batch API | No | No |
| 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 Oss 120b in | Databricks Gpt Oss 120b out | Fw Gpt Oss 120b in | Fw Gpt Oss 120b out |
|---|---|---|---|---|
| Azure | — | — | $0.165/M | $0.660/M |
| Databricks | $0.150/M | $0.600/M | — | — |
Frequently asked questions
Powered by Mem0
Use a smaller model.
Get better results.
Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model