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Devstral Small 1.1 vs Nano Banana 2 (Gemini 3.1 Flash Image)
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
Nano Banana 2 (Gemini 3.1 Flash Image)
Context window
131K
131,072 tokens · ~98K 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.
Devstral Small 1.1 and Nano Banana 2 (Gemini 3.1 Flash Image) have identical context windows (131K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Devstral Small 1.1 | Nano Banana 2 (Gemini 3.1 Flash Image) |
|---|---|---|
| Context window | 131,072 tokens (131K) | 131,072 tokens (131K) |
| Max output tokens | N/A | 65,536 tokens (65K) |
| Speed tier | Balanced | Fast |
| Vision | No | Yes |
| Function calling | Yes | No |
| Extended thinking | No | Yes |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | Jul 2025 | Jun 2026 |
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