Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Googlevision

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines...

MultimodalAPI AvailableVisionReasoning

Specifications

Context Window

131K tokens

Input Price/1M

$0.50

Output Price/1M

$3.00

Parameters

Max Output

66K tokens

Information

Release date
February 26, 2026
Tool Calling
❌ Not supported
Vision
✅ Supported
Audio
❌ Not supported

Full Analysis: Nano Banana 2 (Gemini 3.1 Flash Image Preview)

What is Nano Banana 2 (Gemini 3.1 Flash Image Preview)?

Nano Banana 2 (Gemini 3.1 Flash Image Preview) is an AI model developed by Google, classified as a vision model. 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 131K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.

Pricing & Costs in 2026

Nano Banana 2 (Gemini 3.1 Flash Image Preview) is usage-based, priced at $0.5/1M input tokens and $3/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.

Benchmarks & Performance

We don't have detailed benchmark results for Nano Banana 2 (Gemini 3.1 Flash Image Preview) 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

Nano Banana 2 (Gemini 3.1 Flash Image Preview) specializes in vision, offering advanced capabilities for creating and processing vision content.

Comparison with Alternatives

In the 2026 AI model ecosystem, Nano Banana 2 (Gemini 3.1 Flash Image Preview) 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.

Frequently Asked Questions

What is Nano Banana 2 (Gemini 3.1 Flash Image Preview)?

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines...

How much does Nano Banana 2 (Gemini 3.1 Flash Image Preview) cost?

Nano Banana 2 (Gemini 3.1 Flash Image Preview) costs $0.5/1M input tokens and $3/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.

How does Nano Banana 2 (Gemini 3.1 Flash Image Preview) compare with other models?

We don't have detailed benchmarks for Nano Banana 2 (Gemini 3.1 Flash Image Preview) yet. Check the main benchmark page to compare available models.

Is Nano Banana 2 (Gemini 3.1 Flash Image Preview) open source?

No, Nano Banana 2 (Gemini 3.1 Flash Image Preview) is a proprietary model from Google. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is Nano Banana 2 (Gemini 3.1 Flash Image Preview) best for?

Nano Banana 2 (Gemini 3.1 Flash Image Preview) excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations.

Last updated: June 01, 2026 View methodology →