GPT Image 2

Overview

gpt-image-2 is OpenAI’s flagship image model (GA April 22, 2026). It’s the strongest text-in-image renderer in production today — accurate typography across Latin, Japanese, Korean, Hindi, Bengali, and 25+ other scripts — with reasoning-augmented composition and photoreal output. Sync API, blob-hosted output, runtime quality dropdown. One SKU exposes all three of OpenAI’s quality tiers (low / medium / high) — the picker default is medium and you opt into higher fidelity per request. No -pro or -mini derivatives; the model ID matches OpenAI’s exact naming.

Specs

Field	Value
Model ID	`gpt-image-2`
Creator	OpenAI
Best for	Text-in-image, photoreal, multilingual typography, logos
Sizes	`1024x1024`, `1024x1536`, `1536x1024`, `2048x2048`
Quality tiers	`low`, `medium` (default), `high`
Pricing mode	Per image, per quality tier
Default latency	~30s medium 1024² (low ~19s, high ~60s, n=3 high ~3min)
Output	Blob-hosted URL (Vercel CDN, no expiring OpenAI URL)

Pricing

Per image at 1024². List = OpenAI provider cost × 1.35 markup, rounded up to a sensible cent boundary so margin floors at ~35% across every tier.

Quality	Provider cost	Kyma list	Margin
`low`	$0.010	$0.014	40%
`medium` (default)	$0.060	$0.081	35%
`high`	$0.220	$0.297	35%

Multi-image requests (n: 3) scale linearly: high × 3 =

0.891. Holds book the exact tier amount before the call so a `quality=high` request reserves

0.297 up front, no refund-and-rebill drift.

Compared to other image models on Kyma

Strength	gpt-image-2	`flux-2-pro`	`ideogram-v3`	`recraft-v4-pro`
Text in image (English)	★★★★★	★★★	★★★★	★★★
Multilingual text	★★★★★	★★	★★★	★★
Photoreal humans	★★★★	★★★★★	★★★★	★★★★
Composition reasoning	★★★★★	★★★★	★★★	★★★★
Print quality (4MP)	★★★	★★★★	★★★	★★★★★
Multi-reference blend	—	10 sources	—	—
Native SVG output	—	—	—	`recraft-v4-vector`

Stars are positioning, not benchmark percentiles — pick by the row that matches your strongest constraint.

Use this when

You need text inside the image to be legible and accurate (logos, posters, packaging, UI mockups, screenshots, ads).
The text is non-English (Japanese, Korean, Chinese, Hindi, Bengali, Arabic, etc.).
The composition needs reasoning (“a chart showing X”, “a diagram of Y”, “a recipe card with Z ingredients”).
You’d otherwise pay for a designer to set type properly.

Pick something else when

You need photoreal hero shots with multi-reference blending → flux-2-pro takes up to 10 source images.
You need editable vector files (SVG with paths and layers) → recraft-v4-vector.
Volume matters more than fidelity — sub-cent budget tier → minimax-image-01 at $0.005/image.
You need print-ready 4MP without paying gpt-image-2 high tier prices → recraft-v4-pro at $0.338/image.

Example

curl -X POST https://kymaapi.com/v1/images/generations \
  -H "Authorization: Bearer $KYMA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "A vintage tea brand poster reading 'KYMA TEA — since 2026' in elegant serif typography, soft cream background, watercolor botanical illustration",
    "size": "1024x1024",
    "quality": "high",
    "n": 1
  }'

The endpoint is async — POST returns 202 with a job_id; poll GET /v1/jobs/{id} until status is succeeded. The completed job’s output.url is a Vercel blob URL hosted on Kyma’s CDN, not an expiring OpenAI URL.

Quality tier rule of thumb

# low — drafts, fast iteration, sub-cent draft tier alternative
'"quality": "low"'   # $0.014, ~19s, OK for layout sketches and ideation

# medium — production default
'"quality": "medium"' # $0.081, ~30s, the picker default

# high — hero shots, marketing, anything user-facing
'"quality": "high"'  # $0.297, ~60s, near-perfect text-in-image

Tier classification

tier: "quality" (top tier in the unified picker taxonomy alongside flux-2-pro, recraft-v4-pro, ideogram-v3). The default medium quality lands at $0.081 — comparable to flux-kontext-pro / recraft-v4 in the Fast tier — but the SKU’s positioning is the high-end option, with quality: "high" available per request when needed.

Models

Overview

Specs

Pricing

Compared to other image models on Kyma

Use this when

Pick something else when

Example

Quality tier rule of thumb

Tier classification

See also

​Overview

​Specs

​Pricing

​Compared to other image models on Kyma

​Use this when

​Pick something else when

​Example

​Quality tier rule of thumb

​Tier classification

​See also

Overview

Specs

Pricing

Compared to other image models on Kyma

Use this when

Pick something else when

Example

Quality tier rule of thumb

Tier classification

See also