Google: Nano Banana 2.1
google/gemini-nano-banana-2.1
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter lists google/gemini-nano-banana-2.1 as a Google image-generation and editing model on the Flash tier, with text and image input and output. Its catalog entry describes it as succeeding Nano Banana 2 and Nano Banana Pro and cites improved product recontextualization. Configurable reasoning, tools, structured outputs, sampling controls, and a 65,536-token context are listed. These are catalog-reported capabilities, not measured results; an independent model card was not available in this source pack.[1]
Strengths
Limitations
- Evidence is limited to an OpenRouter catalog entry; no independent model card was supplied, so behavior and quality require workload validation.[1]
- The supplied benchmark fields contain no usable results, so measured performance and comparative quality remain unverified.[1]
- The record does not specify a knowledge cutoff or establish licensing, safety behavior, or deployment requirements.[1]
Where to use it
- Evaluate for image generation and editing tasks that need both text and visual context.[1]
- Consider for product recontextualization or marketing asset workflows, with checks for fidelity, brand fit, and review needs.[1]
- Test in applications that need configurable reasoning, tool calls, structured outputs, or seed control alongside image output.[1]
Sources
- [1] OpenRouter catalog · Google: Nano Banana 2.1Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...
Specifications
- Model ID
- google/gemini-nano-banana-2.1
- Canonical ID
- google/gemini-nano-banana-2.1-20261006
- Creator
- Added to OpenRouter
- 06.10.2026
- Context length
- 65,536
- Modality
- text+image->text+image
- Input modalities
- image, text
- Output modalities
- image, text
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: optional · default minimal · efforts: high, minimal, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default minimal · efforts: high, minimal, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | output: image |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| 65,536 | — | — | — | — | 100% | |
| Google AI Studio | 65,536 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.