Google Nano Banana 2.1

Nano Banana 2.1 by Google excels in the Image Generation category, where it ranks #5 with a composite score of 40/100. 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,... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable image generation solution.

Nano Banana 2.1 is priced at $1.50 per million input tokens and $7.50 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the image generation category and reflects the model's quality-to-cost ratio.

In the Image Generation category, Nano Banana 2.1 holds rank #5 out of 19 models tracked. Its quality rank is #5 and adoption rank is #5. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Nano Banana 2.1 has been evaluated across 5 different signals. Its strongest areas include Capabilities (100/100), Pricing (93/100), Context Window (86/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

Nano Banana 2.1 is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Google's website for current free tier availability and promotional offers.

Nano Banana 2.1 supports a 66K token context window (65,536 tokens total). That translates to roughly 49,152 words in a single prompt. Plenty for most coding tasks, medium-length documents, and extended conversations.

Nano Banana 2.1 can generate up to 59K output tokens (58,982 tokens) per response. That is roughly 44,237 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

Nano Banana 2.1 supports image understanding (vision), function/tool calling, structured JSON output, extended reasoning/chain-of-thought, web search, image generation, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. Vision support means it can analyze images, screenshots, and diagrams alongside text. These capabilities determine which workflows and integrations the model can handle natively.

Nano Banana 2.1 was developed by Google. It was released on October 6, 2026. You can access it through Google's API. Check our provider page for all models from Google and how they compare against each other.

Pick Nano Banana 2.1 when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Nano Banana 2.1 through Google's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.