Nano Banana (Gemini 2.5 Flash Image) vs Llama 3 70B Instruct
Nano Banana (Gemini 2.5 Flash Image) (2025) and Llama 3 70B Instruct (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 70B Instruct ships a 8K-token context window. On pricing, Nano Banana (Gemini 2.5 Flash Image) costs $0.3/1M input tokens versus $0.4/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Nano Banana (Gemini 2.5 Flash Image) fits 4x more tokens; pick it for long-context work and Llama 3 70B Instruct for tighter calls.
Specs
| Released | 2025-04-01 | 2024-04-18 |
| Context window | 33K | 8K |
| Parameters | — | 70B |
| Architecture | decoder only | decoder only |
| License | Unknown | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Nano Banana (Gemini 2.5 Flash Image) | Llama 3 70B Instruct | |
|---|---|---|
| Input price | $0.3/1M tokens | $0.4/1M tokens |
| Output price | $30/1M tokens | $0.4/1M tokens |
| Providers |
Capabilities
| Nano Banana (Gemini 2.5 Flash Image) | Llama 3 70B Instruct | |
|---|---|---|
| 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 differs most on structured outputs: Llama 3 70B 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 $0.3/1M input and $30/1M output tokens, while Llama 3 70B Instruct lists $0.4/1M input and $0.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3 70B Instruct lower by about $8.81 per million blended tokens. Availability is 3 providers versus 18, 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 70B Instruct when provider fit and broader provider choice 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 70B Instruct?
Nano Banana (Gemini 2.5 Flash Image) supports 33K tokens, while Llama 3 70B Instruct 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 70B Instruct?
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 70B Instruct costs $0.4/1M input and $0.4/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Nano Banana (Gemini 2.5 Flash Image) or Llama 3 70B Instruct open source?
Nano Banana (Gemini 2.5 Flash Image) is listed under Unknown. Llama 3 70B Instruct 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.
Which is better for structured outputs, Nano Banana (Gemini 2.5 Flash Image) or Llama 3 70B Instruct?
Llama 3 70B Instruct 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 Llama 3 70B Instruct?
Nano Banana (Gemini 2.5 Flash Image) is available on Google AI Studio, GCP Vertex AI, and OpenRouter. Llama 3 70B Instruct is available on GCP Vertex AI, AWS Bedrock, Microsoft Foundry, NVIDIA NIM, and DeepInfra. 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 70B Instruct?
Nano Banana (Gemini 2.5 Flash Image) fits 4x more tokens; pick it for long-context work and Llama 3 70B Instruct for tighter calls. If your workload also depends on long-context analysis, start with Nano Banana (Gemini 2.5 Flash Image); if it depends on provider fit, run the same evaluation with Llama 3 70B Instruct.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.