Google: Nano Banana Pro (Gemini 3 Pro Image) vs OpenAI: GPT Image 2.6 Flare
A side-by-side comparison of Google: Nano Banana Pro (Gemini 3 Pro Image) ($7.00 / 1M tokens) and OpenAI: GPT Image 2.6 Flare ($28.00 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| Google: Nano Banana Pro (Gemini 3 Pro Image) | OpenAI: GPT Image 2.6 Flare | |
|---|---|---|
| Provider | OpenAI | |
| Input | $7.00 / 1M tokens | $28.00 / 1M tokens |
| Output | $42.00 / 1M tokens | $28.00 / 1M tokens |
| Cache read | $0.70 / 1M tokens | $7.00 / 1M tokens |
| Cache write | $1.31 / 1M tokens | $35.00 / 1M tokens |
| Reasoning | $42.00 / 1M tokens | - |
| Image output | $420.00 / 1M tokens | $105.00 / 1M tokens |
| Audio input | $7.00 / 1M tokens | - |
| Image | $0.000007 / image | - |
| Web search | $49.00 / 1K searches | $35.00 / 1K searches |
| Context window | 131,072 | 400,000 |
| Max output | 32,768 | 360,000 |
| Input | image, text | text, image |
| Output | image, text | image |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Jun 18, 2026 | Nov 4, 2026 |
Key differences
- Google: Nano Banana Pro (Gemini 3 Pro Image) is 75% cheaper on input tokens.
- OpenAI: GPT Image 2.6 Flare is 33% cheaper on output tokens.
- OpenAI: GPT Image 2.6 Flare reads 3.1× more context (400,000 tokens).
- Only Google: Nano Banana Pro (Gemini 3 Pro Image) supports tool calling.
- Only Google: Nano Banana Pro (Gemini 3 Pro Image) supports reasoning effort control.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "google/gemini-3-pro-image" to "openai/gpt-image-2.6-flare" and prompts, streaming and tools keep working.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.images.generate({
"model": "openai/gpt-image-2.6-flare",
"prompt": "A minimalist product photo of a ceramic mug on a wooden table",
"n": 1,
"aspect_ratio": "1:1"
});
import { writeFile } from "node:fs/promises";
await writeFile("image.png", Buffer.from(result.data[0].b64_json, "base64"));
More comparisons
- OpenAI: GPT Image 2.6 Flare vs OpenAI: GPT Image 2.6 Sunburst
- OpenAI: GPT Image 2.6 Flare vs Auto Router
- OpenAI: GPT Image 2.6 Flare vs Auto Code
- OpenAI: GPT Image 2.6 Flare vs Sourceful: Riverflow V2.6 Pro
- OpenAI: GPT Image 2.6 Sunburst vs Auto Router
- OpenAI: GPT Image 2.6 Sunburst vs Auto Code
- OpenAI: GPT Image 2.6 Sunburst vs Sourceful: Riverflow V2.6 Pro
- Auto Router vs Auto Code