Nano Banana (Gemini 2.5 Flash Image) — Google | Modeldex

Nano Banana (Gemini 2.5 Flash Image)

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Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...

Updated 4 days agoStructured data from Modeldex catalog

Vision

Knowledge cutoff

Jan 31, 2025(1.2 years ago)

API release

Oct 7, 2025(6 months ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...

History

Nano Banana (Gemini 2.5 Flash Image) became available via the Google API on 2025-10-07.

Training & availability

Training data has a knowledge cutoff of 2025-01-31 — information about events after that date is unlikely to appear in the model's responses. Google has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 32K tokens.
Input modalities: image, text.

Recommended for: vision.

Limitations

The knowledge cutoff is 14 months old — this model will not know about recent events, releases, or API changes.
The context window (32K tokens) is modest by 2026 standards — unsuitable for processing long documents in a single request.

Pricing

Input: $0.3000 per 1M tokens
Output: $2.5000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the google API. Copy, paste, replace the key.

from google import genai

client = genai.Client(api_key="...")
resp = client.models.generate_content(
    model="gemini-2.5-flash-image",
    contents="Explain quantum computing in one sentence.",
)
print(resp.text)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.3/1M

Output tokens / month2.0M

@ $2.5/1M

Input cost

$1.5

5.0M × $0.3/1M

Output cost

2.0M × $2.5/1M

Total / month

$6.5

$78 / year

Providers & performance

2 providers

Multi-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.

Provider	Throughput	Latency (TTFT)	Input $ / 1M	Output $ / 1M	Context	Quant	Supports
Google	166tok/s	7.19s	$0.3	$2.5	33K	—	json
Google AI Studio	144tok/s	527ms	$0.3	$2.5	33K	—	json

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Mid-tier pricing

Standard pricing band. Quality tier pending more benchmark coverage.

Quality percentile: —
Effective price: $1.95/1M
Pricing breakdown: $0.3/1M in
$2.5/1M out

Community ratings

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