Nano Banana 2.1 Text-to-Image

google/gemini-nano-banana-2-1/text-to-image
OfficialText-to-Image

Nano Banana 2.1 Text-to-Image is an advanced text-to-image synthesis model built on the upgraded Nano Banana 2.1 architecture. Engineered to convert complex natural language prompts directly into high-fidelity visual assets, it excels at composition execution, intricate lighting mechanics, and sharp typography rendering. Operating with support for dynamic aspect ratios and native resolutions up to 4K, it ensures precise photorealistic textures and consistent stylistic control across diverse artistic styles.

Pricing Notice: Prices listed here reflect iCreat AI's standard rates. Some models may be eligible for promotional discounts or special offers. Final charges are based on the real-time prices displayed in each model's Playground.

Resolution Price (USD) Billing Unit
1K 0.04 Per image
2K 0.06 Per image
4K 0.135 Per image

Total cost = Price for the selected resolution + Number of reference images × $0.02.

Read Me

Nano Banana 2.1 Text-to-Image API

Nano Banana 2.1 Text-to-Image is Google's high-fidelity multimodal image generation model, released as GA on 2026-10-06 (with Nano Banana 2 now marked as deprecated by Google). It delivers strong character and subject consistency, precise instruction following, natural language understanding, and support for multi-line text prompts, enabling fast generation of high-quality visual content.

On the iCreat platform, this model is served through the text-to-image endpoint https://api.icreat.ai/v1/task/submit/google/gemini-nano-banana-2-1/text-to-image, running as an asynchronous two-step task (submit, then poll for results). It supports three resolution tiers — 1K, 2K, and 4K — priced at $0.04, $0.06, and $0.135 per image respectively, with billing increasing as the resolution tier rises.

Model Positioning

Nano Banana 2.1 Text-to-Image is a dedicated pure text-to-image endpoint on the iCreat platform. It carries no image reference field, so it is purpose-built for generating images directly from a text prompt rather than for image-to-image or editing workflows. This distinguishes it from other endpoints in the same family, such as the Economy version (google/gemini-3-pro-image-economy) and the Pro version, which accept reference images for image-to-image generation and editing.

With a tiered pricing structure tied to output resolution, the model is positioned for users who need clean, prompt-driven image synthesis with flexible control over both resolution and aspect ratio. It is a strong fit for teams that want high-fidelity generation with predictable per-image costs and broad framing options.

Core Capabilities

Character and Subject Consistency

The model maintains strong consistency across generated subjects and characters, making it reliable for producing coherent visual content where identity and appearance need to remain stable.

Precise Instruction Following

It follows detailed prompts accurately, translating complex or layered instructions into the intended visual output with a high degree of fidelity.

Natural Language Understanding

Built on Google's multimodal foundation, the model interprets natural language prompts fluently, reducing the need for heavily engineered or keyword-stuffed inputs.

Multi-Line Text Prompts

The prompt field supports multi-line text, allowing users to structure detailed descriptions across several lines for richer, more controlled generation.

Fast, High-Quality Generation

It produces high-quality visual content quickly, supporting efficient iteration and production workflows.

Pricing

Resolution Price (USD) Billing Unit
1K $0.04 Per image
2K $0.06 Per image
4K $0.135 Per image

Total cost = the price of the selected resolution tier × the number of images generated. Price increases with the resolution tier (1K $0.04 → 2K $0.06 → 4K $0.135), which differs from the flat $0.04 per image billing of Nano Banana 2.1 Economy.

Application Scenarios

  • Generating high-fidelity images directly from text prompts
  • Producing consistent characters and subjects for series or campaign visuals
  • Creating marketing and social media assets across multiple aspect ratios
  • Rapid concepting and storyboard visualization from detailed written descriptions
  • Generating images at 1K, 2K, or 4K depending on the required output quality

Model Comparison

Comparison Table 1: Nano Banana 2.1 Text-to-Image vs Nano Banana 2.1 Economy

Feature Nano Banana 2.1 Text-to-Image Nano Banana 2.1 Economy
Model ID google/gemini-nano-banana-2-1/text-to-image google/gemini-3-pro-image-economy
Pricing Tiered: 1K $0.04, 2K $0.06, 4K $0.135 per image Flat $0.04 per image (same for 1K/2K/4K)
Reference Images None (pure text-to-image endpoint) Up to 11 reference images (image-to-image / editing)
Best For Pure text-to-image generation Editing and reference-guided generation

Note: At the 4K tier, the two options differ in price by nearly 3×. Choose the Economy version when reference-image editing is required; for pure 1K text-to-image, both are priced the same.

Comparison Table 2: Same-Tier Text-to-Image Model Comparison

Model Developer Pricing Aspect Ratios
Nano Banana 2.1 Text-to-Image Google 1K $0.04, 2K $0.06, 4K $0.135 per image 10 options
Seedream 5.0 Pro ByteDance 2K $0.09 per image Seven sizes
Qwen Image 2.1 Alibaba Cloud Reference pricing: 2K-tier per-image billing —

Note: At the 1K tier, $0.04 is on par with comparable models; at the 2K tier, $0.06 is lower than Seedream 5.0 Pro's $0.09.

Why Choose Nano Banana 2.1 Text-to-Image?

  • Strong character and subject consistency for coherent, repeatable results
  • Precise instruction following and fluent natural language understanding
  • Multi-line text prompt support for detailed control
  • Three resolution tiers (1K/2K/4K) with predictable per-image pricing
  • Ten aspect ratios covering standard, portrait, landscape, and ultrawide formats
  • Fast generation of high-quality visual content
  • Competitive 2K pricing compared with same-tier alternatives

Specifications

Field Value
Model Name Nano Banana 2.1 Text-to-Image
Developer Google
Model ID google/gemini-nano-banana-2-1/text-to-image
Model Type Image generation (text-to-image; high-fidelity multimodal AI image generation)
Endpoint https://api.icreat.ai/v1/task/submit/google/gemini-nano-banana-2-1/text-to-image
Task Result Endpoint https://api.icreat.ai/v1/task/result
Authentication Authorization: Bearer ${ICREAT_API_KEY}
Input Modalities Text (prompt)
Output Modalities Image
Supported Resolutions 1K, 2K, 4K
Aspect Ratios 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9
Prompt Multi-line text supported
Billing Unit Per image, tiered by resolution
API Mode Asynchronous two-step (submit task, then poll for result)

Architecture

Nano Banana 2.1 Text-to-Image is built on Google's Nano Banana 2.1 multimodal image generation foundation. The upstream model provides a context window of 131,072 tokens with a maximum output of 32,768 tokens, supporting rich prompt interpretation and detailed visual synthesis.

On the iCreat platform, the model is exposed as an asynchronous task API. A request is submitted to the text-to-image endpoint with a top-level, flat request body containing prompt, image_size, and aspect_ratio. The platform returns a task_id, which is then used against the task result endpoint to poll for completion. During processing, the result field is an empty array; once the task succeeds, result contains Image resources with url and download_url, and costUSD is returned only on success.

Notes

  • Both steps use the same task_id; while processing, result is [], so polling must continue until the task reaches a terminal state.
  • FAILED is a terminal state. If a task fails, check the prompt, aspect ratio, and other request parameters.
  • The request body uses top-level flat fields.
  • The prompt field supports multi-line text.
  • image_size accepts three tiers: 1K, 2K, and 4K.
  • aspect_ratio accepts 10 values: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9.
  • This endpoint is pure text-to-image and has no reference image input field. For image-to-image or editing, use a same-family endpoint that supports reference images.
  • costUSD is returned only when the task succeeds.

Frequently Asked Questions

How do I call Nano Banana 2.1 Text-to-Image?

Call it as an asynchronous two-step task. Submit a request to https://api.icreat.ai/v1/task/submit/google/gemini-nano-banana-2-1/text-to-image with Bearer authentication and a top-level flat request body containing prompt, image_size, and aspect_ratio. Then poll https://api.icreat.ai/v1/task/result with the returned task_id until the task completes.

How is the cost calculated?

Billing is tiered by resolution: $0.04 per image at 1K, $0.06 per image at 2K, and $0.135 per image at 4K. For example, generating 2 images at 2K costs $0.12. The response includes costUSD only when the task succeeds.

Which resolution tiers are supported?

Three tiers are supported: 1K, 2K, and 4K. Price increases as the resolution tier rises.

Which aspect ratios are supported?

Ten aspect ratios are supported: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, and 21:9.

What is the difference between this and Nano Banana 2.1 Economy?

This endpoint is pure text-to-image and bills by resolution tier. The Economy version is billed at a flat $0.04 per image and supports up to 11 reference images for editing. At the 4K tier, the Economy version is cheaper, while for pure 1K text-to-image both are priced the same.

What upgrades does it offer over Nano Banana 2?

Per Google's official statements, it delivers better visual detail and prompt adherence, more accurate text rendering and infographic layout, stronger subject consistency across multi-turn editing, and fixes for panoramic aspect ratio tiling artifacts at 2K and 4K.