OpenAI
GPT-Image 2
OpenAI’s second-generation image model — instruction-precise synthesis, editing and in-image text.
Intelligence
93.1 #8
AAQI 93.0
Output Speed
25 t/s
ITL 40.0 ms/tok
Blended price (3:1)
$0.09 /1M
In $0.09/M · Out $0.09/M
Context
128K
≈ 320 A4 pages · max out 4,096
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
GPT-Image 2
Claude Mythos Preview (#1)
Average (68)
Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.
Strengths & Trade-offs
Where it wins
- Best instruction-following in the image class
- Clean typography and UI-style text rendering
- First-class edit/inpaint endpoints
- Deep integration with OpenAI agents
Trade-offs to watch
- Most expensive per-image tier
- Slower renders on complex scenes
- Closed weights
Killer Use Cases
Design-to-asset pipelines
Prompt-precise banners, mockups and brand assets.
Agentic creative tools
Image calls orchestrated by GPT-6 agents.
Text-heavy graphics
Posters and slides needing real, legible copy.
Developer Quickstart & API
Set
OPENAI_API_KEY first — get an API keycurl https://api.openai.com/v1/responses \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "gpt-image-2",
"input": "Refactor this function for O(n) time and explain the change."
}'from openai import OpenAI
client = OpenAI() # reads OPENAI_API_KEY
resp = client.responses.create(
model="gpt-image-2",
input="Refactor this function for O(n) time and explain the change.",
)
print(resp.output_text)const res = await fetch("https://api.openai.com/v1/responses", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({ model: "gpt-image-2", input: "Refactor this function for O(n) time and explain the change." }),
});
console.log((await res.json()).output_text);Official Resources & Links
API deployment
Compare hosts & latency
Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Scores by Source
Category Scores
Benchmark Results
Head-to-head Live Matchups
Live Specs & Architecture
Under the hood
GPT-Image 2 — OpenAI image generation
- Second-gen image stack trained with GPT-side prompt understanding
- Legible in-image text and dense layout control
- Transparent-background and masked-edit modes
- Tight GPT-6/Responses API integration
Release date
Oct 16, 2026
Architecture
GPT-Image 2 — OpenAI image generation
Parameters
Not disclosed
License
Proprietary
Context Window
128,000 tokens
Max Output
4,096 tokens
Modalities
text + image
Cache Pricing
read $0.02 · write $0.11 /1M
Reasoning
—
Input Price
$0.09/M
Output Price
$0.09/M
Output Speed
25 t/s
Time to First Token
—
Data Updated
Oct 22, 2026
Estimated monthly bill
Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...
Cite & embed
GitHub Markdown badge
Loading badge markdown...BibTeX
@misc{llmpodium2026gptimage2,
title = {Benchmark Analysis and Intelligence Evaluation of GPT-Image 2},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/gpt-image-2}
}Embed Score Badge
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