Compare
Gemma 2 9B vs Gemma 3n 2B (free)
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.
Gemma 2 9B and Gemma 3n 2B (free) have identical context windows (8K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Gemma 2 9B | Gemma 3n 2B (free) |
|---|---|---|
| Context window | 8,192 tokens (8K) | 8,192 tokens (8K) |
| Max output tokens | N/A | 2,048 tokens (2K) |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | No | No |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | Jun 2024 | Jul 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