Nano Banana (Gemini 2.5 Flash Image) vs Llama 3.2 1B
Nano Banana (Gemini 2.5 Flash Image) (2025) and Llama 3.2 1B (2024) are compact production models from Google DeepMind and AI at Meta. Nano Banana (Gemini 2.5 Flash Image) ships a 33K-token context window, while Llama 3.2 1B ships a 128K-token context window. On pricing, Llama 3.2 1B costs $0.1/1M input tokens versus $0.3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 3.2 1B is ~200% cheaper at $0.1/1M; pay for Nano Banana (Gemini 2.5 Flash Image) only for provider fit.
Specs
| Released | 2025-04-01 | 2024-09-25 |
| Context window | 33K | 128K |
| Parameters | — | 1.23B |
| Architecture | decoder only | decoder only |
| License | Unknown | Open Source |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Nano Banana (Gemini 2.5 Flash Image) | Llama 3.2 1B | |
|---|---|---|
| Input price | $0.3/1M tokens | $0.1/1M tokens |
| Output price | $30/1M tokens | $0.1/1M tokens |
| Providers |
Capabilities
| Nano Banana (Gemini 2.5 Flash Image) | Llama 3.2 1B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
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.
For cost, Nano Banana (Gemini 2.5 Flash Image) lists $0.3/1M input and $30/1M output tokens, while Llama 3.2 1B lists $0.1/1M input and $0.1/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.2 1B lower by about $9.11 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.
Choose Nano Banana (Gemini 2.5 Flash Image) when provider fit and broader provider choice are central to the workload. Choose Llama 3.2 1B when long-context analysis, larger context windows, and lower input-token cost 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 (Gemini 2.5 Flash Image) or Llama 3.2 1B?
Llama 3.2 1B supports 128K tokens, while Nano Banana (Gemini 2.5 Flash Image) supports 33K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Nano Banana (Gemini 2.5 Flash Image) or Llama 3.2 1B?
Llama 3.2 1B is cheaper on tracked token pricing. Nano Banana (Gemini 2.5 Flash Image) costs $0.3/1M input and $30/1M output tokens. Llama 3.2 1B costs $0.1/1M input and $0.1/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Nano Banana (Gemini 2.5 Flash Image) or Llama 3.2 1B open source?
Nano Banana (Gemini 2.5 Flash Image) is listed under Unknown. Llama 3.2 1B is listed under Open Source. 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 (Gemini 2.5 Flash Image) and Llama 3.2 1B?
Nano Banana (Gemini 2.5 Flash Image) is available on Google AI Studio, GCP Vertex AI, and OpenRouter. Llama 3.2 1B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Nano Banana (Gemini 2.5 Flash Image) over Llama 3.2 1B?
Llama 3.2 1B is ~200% cheaper at $0.1/1M; pay for Nano Banana (Gemini 2.5 Flash Image) only for provider fit. If your workload also depends on provider fit, start with Nano Banana (Gemini 2.5 Flash Image); if it depends on long-context analysis, run the same evaluation with Llama 3.2 1B.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.