Nano Banana Pro (Gemini 3 Pro Image Preview) vs ShieldGemma 9B
Nano Banana Pro (Gemini 3 Pro Image Preview) (2025) and ShieldGemma 9B (2024) are compact production models from Google DeepMind. Nano Banana Pro (Gemini 3 Pro Image Preview) ships a 66K-token context window, while ShieldGemma 9B ships a 8K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Nano Banana Pro (Gemini 3 Pro Image Preview) fits 8x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls.
Decision scorecard
Local evidence first| Signal | Nano Banana Pro (Gemini 3 Pro Image Preview) | ShieldGemma 9B |
|---|---|---|
| Decision fit | General | Classification |
| Context window | 66K | 8K |
| Cheapest output | $120/1M tokens | - |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Nano Banana Pro (Gemini 3 Pro Image Preview) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nano Banana Pro (Gemini 3 Pro Image Preview) has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags ShieldGemma 9B for Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Nano Banana Pro (Gemini 3 Pro Image Preview)
$31,600
Cheapest tracked route: Google AI Studio
ShieldGemma 9B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Nano Banana Pro (Gemini 3 Pro Image Preview) and ShieldGemma 9B; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for ShieldGemma 9B and Nano Banana Pro (Gemini 3 Pro Image Preview); plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-09-01 | 2024-07-01 |
| Context window | 66K | 8K |
| Parameters | — | 9B |
| Architecture | decoder only | decoder only |
| License | Unknown | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Nano Banana Pro (Gemini 3 Pro Image Preview) | ShieldGemma 9B |
|---|---|---|
| Input price | $2/1M tokens | - |
| Output price | $120/1M tokens | - |
| Providers |
Capabilities
| Capability | Nano Banana Pro (Gemini 3 Pro Image Preview) | ShieldGemma 9B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: Nano Banana Pro (Gemini 3 Pro Image Preview) has $2/1M input tokens and ShieldGemma 9B has no token price sourced yet. Provider availability is 3 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Nano Banana Pro (Gemini 3 Pro Image Preview) when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose ShieldGemma 9B when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Nano Banana Pro (Gemini 3 Pro Image Preview) or ShieldGemma 9B?
Nano Banana Pro (Gemini 3 Pro Image Preview) supports 66K tokens, while ShieldGemma 9B supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Nano Banana Pro (Gemini 3 Pro Image Preview) or ShieldGemma 9B open source?
Nano Banana Pro (Gemini 3 Pro Image Preview) is listed under Unknown. ShieldGemma 9B is listed under 1. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Where can I run Nano Banana Pro (Gemini 3 Pro Image Preview) and ShieldGemma 9B?
Nano Banana Pro (Gemini 3 Pro Image Preview) is available on Google AI Studio, GCP Vertex AI, and OpenRouter. ShieldGemma 9B is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Nano Banana Pro (Gemini 3 Pro Image Preview) over ShieldGemma 9B?
Nano Banana Pro (Gemini 3 Pro Image Preview) fits 8x more tokens; pick it for long-context work and ShieldGemma 9B for tighter calls. If your workload also depends on long-context analysis, start with Nano Banana Pro (Gemini 3 Pro Image Preview); if it depends on provider fit, run the same evaluation with ShieldGemma 9B.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.