Compare
Gemini 3 Pro Preview vs Gemma 7b It
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
Gemini 3 Pro Preview
Context window
1.0M
1,048,576 tokens · ~786K 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.
Gemini 3 Pro Preview has about 128× the context window of the other in this pair.
Gemini 3 Pro Preview has 12700% more context capacity (1048K vs 8K tokens). Gemma 7b It is 97% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Gemini 3 Pro Preview. Its 1048K context fits entire documents without chunking (vs 8K).
RAG / high-volume retrieval
Use Gemma 7b It. Input tokens are 97% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Gemini 3 Pro Preview. Its 65K max output lets you generate complete artifacts in one request.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Gemini 3 Pro Preview | Gemma 7b It |
|---|---|---|
| Context window | 1,048,576 tokens (1048K) | 8,192 tokens (8K) |
| Max output tokens | 65,535 tokens (65K) | 8,192 tokens (8K) |
| Speed tier | Fast | Fast |
| Vision | Yes | No |
| Function calling | Yes | No |
| Extended thinking | Yes | No |
| Prompt caching | Yes | No |
| 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 | Gemini 3 Pro Preview in | Gemini 3 Pro Preview out | Gemma 7b It in | Gemma 7b It out |
|---|---|---|---|---|
| Anyscale | — | — | $0.150/M | $0.150/M |
| Fireworks | — | — | $0.200/M | $0.200/M |
| Gmi | $2.00/M | $12.00/M | — | — |
| $2.00/M | $12.00/M | — | — | |
| Google Vertex | $2.00/M | $12.00/M | — | — |
| Groq | — | — | $0.050/M | $0.080/M |
| Openrouter | $2.00/M | $12.00/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