Nano Banana (Gemini 2.5 Flash Image) vs Llama 3.2 90B Instruct
Nano Banana (Gemini 2.5 Flash Image) (2025) and Llama 3.2 90B Instruct (2025) 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 90B Instruct ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Nano Banana (Gemini 2.5 Flash Image) is ~350% cheaper at $0.30/1M; pay for Llama 3.2 90B Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Nano Banana (Gemini 2.5 Flash Image) | Llama 3.2 90B Instruct |
|---|---|---|
| Best for | provider-routed production | multimodal apps |
| Decision fit | General | RAG, Long context, and Vision |
| Context window | 33k | 128k |
| Cheapest output | $30/1M tokens | $1.80/1M tokens |
| Provider routes | 4 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Nano Banana (Gemini 2.5 Flash Image) has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3.2 90B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3.2 90B Instruct has the lower cheapest tracked output price at $1.80/1M tokens.
- Llama 3.2 90B Instruct uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Llama 3.2 90B Instruct for RAG, Long context, and Vision.
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
Llama 3.2 90B Instruct
$1,530
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $6,210. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Nano Banana (Gemini 2.5 Flash Image) and Llama 3.2 90B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 3.2 90B Instruct is $28.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Llama 3.2 90B Instruct adds Vision, Multimodal, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.2 90B Instruct and Nano Banana (Gemini 2.5 Flash Image); plan for SDK, billing, or endpoint changes.
- Nano Banana (Gemini 2.5 Flash Image) is $28.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-01 | 2025-09-01 |
| Context window | 33k | 128k |
| Parameters | — | 90B |
| Architecture | decoder only | - |
| License | Proprietary | Llama 3 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Pricing attribute | Nano Banana (Gemini 2.5 Flash Image) | Llama 3.2 90B Instruct |
|---|---|---|
| Input price | $0.30/1M tokens | $1.35/1M tokens |
| Output price | $30/1M tokens | $1.80/1M tokens |
| Providers |
Capabilities
| Capability | Nano Banana (Gemini 2.5 Flash Image) | Llama 3.2 90B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| 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 rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Llama 3.2 90B Instruct, multimodal input: Llama 3.2 90B Instruct, and structured outputs: Llama 3.2 90B Instruct. 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 Llama 3.2 90B Instruct lists $1.35/1M input and $1.80/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.2 90B Instruct lower by about $7.73 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.
Choose Nano Banana (Gemini 2.5 Flash Image) when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Llama 3.2 90B Instruct when long-context analysis and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Nano Banana (Gemini 2.5 Flash Image) or Llama 3.2 90B Instruct?
Llama 3.2 90B Instruct 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 90B Instruct?
Llama 3.2 90B Instruct is cheaper on tracked token pricing. Nano Banana (Gemini 2.5 Flash Image) costs $0.30/1M input and $30/1M output tokens. Llama 3.2 90B Instruct costs $1.35/1M input and $1.80/1M 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 90B Instruct open source?
Nano Banana (Gemini 2.5 Flash Image) is listed under Proprietary. Llama 3.2 90B Instruct is listed under Llama 3 Community. 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 vision, Nano Banana (Gemini 2.5 Flash Image) or Llama 3.2 90B Instruct?
Llama 3.2 90B Instruct has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Nano Banana (Gemini 2.5 Flash Image) or Llama 3.2 90B Instruct?
Llama 3.2 90B Instruct has the clearer documented multimodal input signal in this comparison. If multimodal input 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 Llama 3.2 90B Instruct?
Nano Banana (Gemini 2.5 Flash Image) is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. Llama 3.2 90B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.