Model comparison · REPRODUCIBLE GUIDE

GPT Image 2 vs Flux 2 Flex: A Task-Based Evaluation

Compare GPT Image 2 and Flux 2 Flex with shared product, advertising, and layout fixtures instead of unrelated showcase images.

One API gateway for multiple AI models.

APIMart is a multi-model AI API gateway with an OpenAI-compatible endpoint. Use one account to access supported image models, compare current pricing, and choose a cost-efficient option for each workload.

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WHY THIS GUIDE EXISTS

Test the workflow,
not the marketing claim.

A useful two-model decision depends on the workload, so this page organizes the evaluation around commercial polish, literal instruction following, layout control, latency, retries, and effective cost per accepted result.

Ecommerce

Ceramic skincare hero

Editorial product photograph of a matte ceramic skincare bottle on pale limestone, soft north-window light, delicate contact shadow, warm neutral palette, 85mm lens compression, no text, no logo.
Clean premium product hero1:1
Ecommerce

Running shoe impact

Technical running shoe frozen above a red clay track at impact, fine dust particles suspended in air, directional hard sunlight, visible outsole detail, energetic diagonal composition, commercial sports photography.
Dynamic footwear campaign4:5
Design

Music festival poster

Experimental electronic music festival poster, oversized condensed type placeholders, electric blue field, silver halftone sphere, asymmetric Swiss grid, high contrast screen-print texture, leave all wording blank.
Poster composition test2:3
Technical

Exploded running shoe

Exploded technical view of a running shoe with upper, laces, foam midsole, plate and outsole separated vertically, clean off-white background, precise alignment, soft studio shadows, no labels.
Product explanation visual3:2
PYTHON QUICKSTART

Keep the request reproducible.

Store credentials in the environment. Record the exact model identifier, dimensions, test date, and retry count with the resulting asset.

import os
from openai import OpenAI

client = OpenAI(
  api_key=os.environ["APIMART_API_KEY"],
  base_url="https://api.apimart.ai/v1",
)

result = client.images.generate(
  model="gpt-image-1-official",
  prompt=PROMPT,
  size="1024x1024",
  n=1,
)
REVIEW CHECKLIST

Before you publish a result