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K3 Edit vs GPT-5 Image: API price, context & features · api14

Krea: K3 Edit vs OpenAI: GPT-5 Image

A side-by-side comparison of Krea: K3 Edit ($0.11 / image) and OpenAI: GPT-5 Image ($35.00 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.

Specifications

	Krea: K3 Edit	OpenAI: GPT-5 Image
Provider	Krea	OpenAI
Image output	$0.11 / image	$140.00 / 1M tokens
Image input	$0.04 / image	-
Input	-	$35.00 / 1M tokens
Output	-	$35.00 / 1M tokens
Cache read	-	$4.38 / 1M tokens
Web search	-	$35.00 / 1K searches
Context window	65,536	400,000
Max output	58,982	128,000
Input	text, image	image, text, file
Output	image	image, text
Tool calling
Structured output
Reasoning control
Added	Oct 15, 2026	Oct 14, 2025

Key differences

OpenAI: GPT-5 Image reads 6.1× more context (400,000 tokens).
Only OpenAI: GPT-5 Image supports structured JSON output.
Only OpenAI: GPT-5 Image supports reasoning effort control.

In depth

Krea: K3 Edit is an image model from Krea. OpenAI: GPT-5 Image is an image model from OpenAI. Both are listed on api14 under the image category, and both accept text and image input, so at a glance they look like the same kind of tool. The differences show up once you look at what each one accepts, what it returns, and how much control you get over the call.

The clearest split is context and output. GPT-5 Image has the bigger context window, and it is the only one of the two that returns text alongside images. It also accepts file input, which Krea: K3 Edit does not. On top of that, GPT-5 Image is the only one exposing structured outputs and reasoning, and it carries a long list of supported parameters (temperature, top_p, max_tokens, seed, response_format, logprobs, verbosity and others). Krea: K3 Edit lists no supported parameters at all, so you get a simpler call surface with fewer knobs to turn. If your pipeline needs to constrain the response shape, ask for reasoning, or tune sampling, only GPT-5 Image gives you that.

For day to day work, pick based on what the task actually needs. If you are doing straightforward image editing or generation from a text prompt plus a reference image, Krea: K3 Edit is the leaner choice, and the absence of tunable parameters means fewer decisions and less to configure. If the job involves a large amount of input context, a file to read, or you want the model to explain itself or return text next to the image, GPT-5 Image is the one to call. Tasks that mix image work with structured output, such as returning a caption or metadata in a fixed schema, also point to GPT-5 Image, since Krea: K3 Edit does not offer structured outputs.

Calling either model through api14 works the same way, because the API is OpenAI compatible. You send your request to the same endpoint with the same request shape, and the only thing that changes between the two is the model id. Use "krea/k3-edit" when you want Krea: K3 Edit, and "openai/gpt-5-image" when you want GPT-5 Image. Your client code, authentication and message structure stay as they are, so switching between them is a one line change rather than a rewrite.

There are still cases where the simpler model wins even though GPT-5 Image does more. If your prompt and reference image fit comfortably in a smaller context, you do not need file input, and you do not care about reasoning traces or structured responses, then Krea: K3 Edit covers the job without the extra parameters to reason about. Reach for GPT-5 Image when the larger context, the text output, the file input, or the reasoning and structured output support actually matter to what you are building.

Switch with one string

Both models use the same endpoint and request shape. Change the model value from "krea/k3-edit" to "openai/gpt-5-image" and prompts, streaming and tools keep working.

Krea: K3 Edit details & playground →OpenAI: GPT-5 Image details & playground →

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-5-image",
  "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"));

Krea: K3 Edit vs OpenAI: GPT-5 Image

Specifications

Key differences

In depth

Switch with one string

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