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o1-pro vs o3 Mini High (batch)
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
o3 Mini High (batch)
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.
o1-pro and o3 Mini High (batch) have identical context windows (200K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | o1-pro | o3 Mini High (batch) |
|---|---|---|
| Context window | 200,000 tokens (200K) | 200,000 tokens (200K) |
| Max output tokens | 100,000 tokens (100K) | 100,000 tokens (100K) |
| Speed tier | Deep | Fast |
| Vision | Yes | No |
| Function calling | No | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | No | Yes |
| Batch API | Yes | Yes |
| Release date | Mar 2025 | Feb 2025 |
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