Google: Nano Banana 2.1

What is Google: Nano Banana 2.1?

Google: Nano Banana 2.1 is an AI model developed by Google, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Google's cloud API. With a context window of 66K tokens, it is suitable for processing medium-sized documents like articles, reports, and code sections.

Pricing & Costs in 2026

Google: Nano Banana 2.1 is usage-based, priced at $1.5/1M input tokens and $7.5/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.

Benchmarks & Performance

We don't have detailed benchmark results for Google: Nano Banana 2.1 yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

Google: Nano Banana 2.1 is suitable for a wide range of AI applications: multimodal processing combining text and images, text generation, summarization, translation, and general assistance.

Comparison with Alternatives

In the 2026 AI model ecosystem, Google: Nano Banana 2.1 competes directly with similarly capable models. Key competitors include GPT (OpenAI), Claude (Anthropic), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.