Nano Banana (Gemini 2.5 Flash Image) vs Nemotron 3 Super-120B-A12B
Nano Banana (Gemini 2.5 Flash Image) (2025) and Nemotron 3 Super-120B-A12B (2026) are compact production models from Google DeepMind and NVIDIA AI. Nano Banana (Gemini 2.5 Flash Image) ships a 33k-token context window, while Nemotron 3 Super-120B-A12B ships a 1.05m-token context window. On pricing, Nemotron 3 Super-120B-A12B costs $0.09/1M input tokens versus $0.30/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Nemotron 3 Super-120B-A12B is ~233% cheaper at $0.09/1M; pay for Nano Banana (Gemini 2.5 Flash Image) only for provider fit.
Decision scorecard
Local evidence first| Signal | Nano Banana (Gemini 2.5 Flash Image) | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Best for | provider-routed production | long-context analysis and provider-routed production |
| Decision fit | General | Coding, RAG, and Agents |
| Context window | 33k | 1.05m |
| Cheapest output | $30/1M tokens | $0.45/1M tokens |
| Provider routes | 4 tracked | 6 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use Nano Banana (Gemini 2.5 Flash Image) when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Nemotron 3 Super-120B-A12B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nemotron 3 Super-120B-A12B has the lower cheapest tracked output price at $0.45/1M tokens.
- Nemotron 3 Super-120B-A12B has broader tracked provider coverage for fallback and procurement flexibility.
- Nemotron 3 Super-120B-A12B uniquely exposes Structured outputs in local model data.
- Local decision data tags Nemotron 3 Super-120B-A12B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Nano Banana (Gemini 2.5 Flash Image)
$7,740
Cheapest tracked route/tier: Google AI Studio
Nemotron 3 Super-120B-A12B
$185
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $7,556. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Nemotron 3 Super-120B-A12B is $29.55/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Nemotron 3 Super-120B-A12B adds Structured outputs in local capability data.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Nano Banana (Gemini 2.5 Flash Image) is $29.55/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-01 | 2026-03-11 |
| Context window | 33k | 1.05m |
| Parameters | — | 120B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | NVIDIA Open Model |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Nano Banana (Gemini 2.5 Flash Image) | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Input price | $0.30/1M tokens | $0.09/1M tokens |
| Output price | $30/1M tokens | $0.45/1M tokens |
| Providers |
Capabilities
| Capability | Nano Banana (Gemini 2.5 Flash Image) | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on structured outputs: Nemotron 3 Super-120B-A12B. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Nano Banana (Gemini 2.5 Flash Image) lists $0.30/1M input and $30/1M output tokens on the cheapest tracked provider, while Nemotron 3 Super-120B-A12B lists $0.09/1M input and $0.45/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Nemotron 3 Super-120B-A12B lower by about $9.01 per million blended tokens. Availability is 4 providers versus 6, so concentration risk also matters.
Choose Nano Banana (Gemini 2.5 Flash Image) when provider fit are central to the workload. Choose Nemotron 3 Super-120B-A12B 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 Nemotron 3 Super-120B-A12B?
Nemotron 3 Super-120B-A12B supports 1.05m 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 Nemotron 3 Super-120B-A12B?
Nemotron 3 Super-120B-A12B is cheaper on tracked token pricing. Nano Banana (Gemini 2.5 Flash Image) costs $0.30/1M input and $30/1M output tokens. Nemotron 3 Super-120B-A12B costs $0.09/1M input and $0.45/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Nano Banana (Gemini 2.5 Flash Image) or Nemotron 3 Super-120B-A12B open source?
Nano Banana (Gemini 2.5 Flash Image) is listed under Proprietary. Nemotron 3 Super-120B-A12B is listed under NVIDIA Open Model. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for structured outputs, Nano Banana (Gemini 2.5 Flash Image) or Nemotron 3 Super-120B-A12B?
Nemotron 3 Super-120B-A12B has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Nano Banana (Gemini 2.5 Flash Image) and Nemotron 3 Super-120B-A12B?
Nano Banana (Gemini 2.5 Flash Image) is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. Nemotron 3 Super-120B-A12B is available on Cloudflare Workers AI, DeepInfra, NVIDIA NIM, OpenRouter, and 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 Nemotron 3 Super-120B-A12B?
Nemotron 3 Super-120B-A12B is ~233% cheaper at $0.09/1M; 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 Nemotron 3 Super-120B-A12B.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.