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Nano Banana 2 (Gemini 3.1 Flash Image) vs Hermes 4 405B
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.
Nano Banana 2 (Gemini 3.1 Flash Image) and Hermes 4 405B have identical context windows (131K tokens). Nano Banana 2 (Gemini 3.1 Flash Image) is 50% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
RAG / high-volume retrieval
Use Nano Banana 2 (Gemini 3.1 Flash Image). Input tokens are 50% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Hermes 4 405B. Its 117K 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 | Nano Banana 2 (Gemini 3.1 Flash Image) | Hermes 4 405B |
|---|---|---|
| Context window | 131,072 tokens (131K) | 131,072 tokens (131K) |
| Max output tokens | 65,536 tokens (65K) | 117,964 tokens (117K) |
| Speed tier | Fast | Deep |
| Vision | Yes | No |
| Function calling | No | No |
| Extended thinking | Yes | Yes |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | Jun 2026 | Aug 2025 |
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 | Nano Banana 2 (Gemini 3.1 Flash Image) in | Nano Banana 2 (Gemini 3.1 Flash Image) out | Hermes 4 405B in | Hermes 4 405B out |
|---|---|---|---|---|
| Nebius | — | — | $1.00/M | $3.00/M |
| Openrouter | $0.500/M | $3.00/M | $1.00/M | $3.00/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