Nano Banana 2 (Gemini 3.1 Flash Image) vs Llama 3.1 70B Instruct
Nano Banana 2 (Gemini 3.1 Flash Image) (2026) and Llama 3.1 70B Instruct (2024) are frontier reasoning models from Google DeepMind and AI at Meta. Nano Banana 2 (Gemini 3.1 Flash Image) ships a 131k-token context window, while Llama 3.1 70B 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 2 (Gemini 3.1 Flash Image) is safer overall; choose Llama 3.1 70B Instruct when provider fit matters.
Decision scorecard
Local evidence first| Signal | Nano Banana 2 (Gemini 3.1 Flash Image) | Llama 3.1 70B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps and multimodal apps | provider-routed production |
| Decision fit | Long context and Vision | Coding, RAG, and Long context |
| Context window | 131k | 128k |
| Cheapest output | $60/1M tokens | $0.40/1M tokens |
| Provider routes | 1 tracked | 13 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Nano Banana 2 (Gemini 3.1 Flash Image) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nano Banana 2 (Gemini 3.1 Flash Image) uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Nano Banana 2 (Gemini 3.1 Flash Image) for Long context and Vision.
- Llama 3.1 70B Instruct has the lower cheapest tracked output price at $0.40/1M tokens.
- Llama 3.1 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3.1 70B Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 3.1 70B Instruct for Coding, RAG, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Nano Banana 2 (Gemini 3.1 Flash Image)
$15,400
Cheapest tracked route/tier: Google AI Studio
Llama 3.1 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Estimated monthly gap: $14,980. 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 2 (Gemini 3.1 Flash Image) and Llama 3.1 70B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 3.1 70B Instruct is $59.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- Llama 3.1 70B Instruct adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.1 70B Instruct and Nano Banana 2 (Gemini 3.1 Flash Image); plan for SDK, billing, or endpoint changes.
- Nano Banana 2 (Gemini 3.1 Flash Image) is $59.60/1M 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.
- Nano Banana 2 (Gemini 3.1 Flash Image) adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-05-28 | 2024-07-23 |
| Context window | 131k | 128k |
| Parameters | — | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Llama 3 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-01 | 2023-12 |
Pricing and availability
| Pricing attribute | Nano Banana 2 (Gemini 3.1 Flash Image) | Llama 3.1 70B Instruct |
|---|---|---|
| Input price | $0.50/1M tokens | $0.40/1M tokens |
| Output price | $60/1M tokens | $0.40/1M tokens |
| Providers |
Capabilities
| Capability | Nano Banana 2 (Gemini 3.1 Flash Image) | Llama 3.1 70B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | 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 vision: Nano Banana 2 (Gemini 3.1 Flash Image), multimodal input: Nano Banana 2 (Gemini 3.1 Flash Image), reasoning mode: Nano Banana 2 (Gemini 3.1 Flash Image), and structured outputs: Llama 3.1 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 2 (Gemini 3.1 Flash Image) lists $0.50/1M input and $60/1M output tokens on the cheapest tracked provider, while Llama 3.1 70B Instruct lists $0.40/1M input and $0.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.1 70B Instruct lower by about $17.95 per million blended tokens. Availability is 1 providers versus 13, so concentration risk also matters.
Choose Nano Banana 2 (Gemini 3.1 Flash Image) when reasoning depth and larger context windows are central to the workload. Choose Llama 3.1 70B Instruct when provider fit, lower input-token cost, 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.
FAQ
Which has a larger context window, Nano Banana 2 (Gemini 3.1 Flash Image) or Llama 3.1 70B Instruct?
Nano Banana 2 (Gemini 3.1 Flash Image) supports 131k tokens, while Llama 3.1 70B Instruct supports 128k 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 2 (Gemini 3.1 Flash Image) or Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct is cheaper on tracked token pricing. Nano Banana 2 (Gemini 3.1 Flash Image) costs $0.50/1M input and $60/1M output tokens. Llama 3.1 70B Instruct costs $0.40/1M input and $0.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Nano Banana 2 (Gemini 3.1 Flash Image) or Llama 3.1 70B Instruct open source?
Nano Banana 2 (Gemini 3.1 Flash Image) is listed under Proprietary. Llama 3.1 70B 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 2 (Gemini 3.1 Flash Image) or Llama 3.1 70B Instruct?
Nano Banana 2 (Gemini 3.1 Flash Image) 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 2 (Gemini 3.1 Flash Image) or Llama 3.1 70B Instruct?
Nano Banana 2 (Gemini 3.1 Flash Image) 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 2 (Gemini 3.1 Flash Image) and Llama 3.1 70B Instruct?
Nano Banana 2 (Gemini 3.1 Flash Image) is available on Google AI Studio. Llama 3.1 70B Instruct is available on Cloudflare Workers AI, OctoAI API (Deprecated), Together AI, Fireworks AI, and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.