Nano Banana (Gemini 2.5 Flash Image) vs Llama 3.3 70B
Nano Banana (Gemini 2.5 Flash Image) (2025) and Llama 3.3 70B (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 3.3 70B ships a 8K-token context window. On pricing, Nano Banana (Gemini 2.5 Flash Image) costs $0.3/1M input tokens versus $0.9/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Nano Banana (Gemini 2.5 Flash Image) is ~200% cheaper at $0.3/1M; pay for Llama 3.3 70B only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Nano Banana (Gemini 2.5 Flash Image) | Llama 3.3 70B |
|---|---|---|
| Decision fit | General | Agents, Vision, and Classification |
| Context window | 33K | 8K |
| Cheapest output | $30/1M tokens | $0.9/1M tokens |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Nano Banana (Gemini 2.5 Flash Image) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nano Banana (Gemini 2.5 Flash Image) has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3.3 70B has the lower cheapest tracked output price at $0.9/1M tokens.
- Llama 3.3 70B uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Llama 3.3 70B for Agents, Vision, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Nano Banana (Gemini 2.5 Flash Image)
$7,740
Cheapest tracked route: Google AI Studio
Llama 3.3 70B
$945
Cheapest tracked route: Fireworks AI
Estimated monthly gap: $6,795. Batch, cache, 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 3.3 70B; plan for SDK, billing, or endpoint changes.
- Llama 3.3 70B is $29.10/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Llama 3.3 70B adds Vision, Multimodal, and Function calling in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.3 70B and Nano Banana (Gemini 2.5 Flash Image); plan for SDK, billing, or endpoint changes.
- Nano Banana (Gemini 2.5 Flash Image) is $29.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-01 | 2025-12-09 |
| Context window | 33K | 8K |
| Parameters | — | 70B |
| Architecture | decoder only | decoder only |
| License | Unknown | True |
| Knowledge cutoff | - | 2024-12 |
Pricing and availability
| Pricing attribute | Nano Banana (Gemini 2.5 Flash Image) | Llama 3.3 70B |
|---|---|---|
| Input price | $0.3/1M tokens | $0.9/1M tokens |
| Output price | $30/1M tokens | $0.9/1M tokens |
| Providers |
Capabilities
| Capability | Nano Banana (Gemini 2.5 Flash Image) | Llama 3.3 70B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Llama 3.3 70B, multimodal input: Llama 3.3 70B, function calling: Llama 3.3 70B, and tool use: Llama 3.3 70B. 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 $0.3/1M input and $30/1M output tokens, while Llama 3.3 70B lists $0.9/1M input and $0.9/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.3 70B lower by about $8.31 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.
Choose Nano Banana (Gemini 2.5 Flash Image) when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Llama 3.3 70B when vision-heavy evaluation 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.
FAQ
Which has a larger context window, Nano Banana (Gemini 2.5 Flash Image) or Llama 3.3 70B?
Nano Banana (Gemini 2.5 Flash Image) supports 33K tokens, while Llama 3.3 70B supports 8K 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 3.3 70B?
Nano Banana (Gemini 2.5 Flash Image) is cheaper on tracked token pricing. Nano Banana (Gemini 2.5 Flash Image) costs $0.3/1M input and $30/1M output tokens. Llama 3.3 70B costs $0.9/1M input and $0.9/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Nano Banana (Gemini 2.5 Flash Image) or Llama 3.3 70B open source?
Nano Banana (Gemini 2.5 Flash Image) is listed under Unknown. Llama 3.3 70B is listed under True. 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 3.3 70B?
Llama 3.3 70B 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 3.3 70B?
Llama 3.3 70B 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 3.3 70B?
Nano Banana (Gemini 2.5 Flash Image) is available on Google AI Studio, GCP Vertex AI, and OpenRouter. Llama 3.3 70B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.