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Claude Opus 4.5 (batch) vs Databricks Claude Opus 4 5
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
Claude Opus 4.5 (batch)
Context window
200K
200,000 tokens · ~150K words
Model
Databricks Claude Opus 4 5
Context window
200K
200,000 tokens · ~150K 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.
Same context window size for both models.
Claude Opus 4.5 (batch) and Databricks Claude Opus 4 5 have identical context windows (200K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Claude Opus 4.5 (batch) | Databricks Claude Opus 4 5 |
|---|---|---|
| Context window | 200,000 tokens (200K) | 200,000 tokens (200K) |
| Max output tokens | 64,000 tokens (64K) | 64,000 tokens (64K) |
| Speed tier | Deep | Deep |
| Vision | Yes | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | Yes | No |
| Batch API | Yes | Yes |
| Release date | Nov 2025 | 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 | Claude Opus 4.5 (batch) in | Claude Opus 4.5 (batch) out | Databricks Claude Opus 4 5 in | Databricks Claude Opus 4 5 out |
|---|---|---|---|---|
| Databricks | — | — | $5.00/M | $25.00/M |
Frequently asked questions
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Use a smaller model.
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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