Google: Nano Banana 2.1 vs OpenAI: GPT Image 2.6 Flare
A side-by-side comparison of Google: Nano Banana 2.1 ($5.25 / 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 2.1 | OpenAI: GPT Image 2.6 Flare | |
|---|---|---|
| Provider | OpenAI | |
| Input | $5.25 / 1M tokens | $28.00 / 1M tokens |
| Output | $26.25 / 1M tokens | $28.00 / 1M tokens |
| Image output | $105.00 / 1M tokens | $105.00 / 1M tokens |
| Web search | $49.00 / 1K searches | $35.00 / 1K searches |
| Cache read | - | $7.00 / 1M tokens |
| Cache write | - | $35.00 / 1M tokens |
| Context window | 65,536 | 400,000 |
| Max output | 58,982 | 360,000 |
| Input | image, text | text, image |
| Output | image, text | image |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Oct 6, 2026 | Nov 4, 2026 |
Key differences
- Google: Nano Banana 2.1 is 81% cheaper on input tokens.
- Google: Nano Banana 2.1 is 6% cheaper on output tokens.
- OpenAI: GPT Image 2.6 Flare reads 6.1× more context (400,000 tokens).
- Only Google: Nano Banana 2.1 supports tool calling.
- Only Google: Nano Banana 2.1 supports reasoning effort control.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "google/gemini-nano-banana-2.1" 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"));
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