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Models

GPT Image 2

by OpenAI

Image model for prompt-driven generation, editing, and visual design workflows.

Our verdict

Not reviewed yet

We have not reviewed GPT Image 2 yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About GPT Image 2

Image model for prompt-driven generation, editing, and visual design workflows.

Best for

Image generation and editing

Notes

GPT Image 2 is listed in the EDNA Models directory, sourced from models.dev.

Pros

  • Creating a visual concept from a detailed brief
  • text, image input; image output on the listed OpenRouter route

Cons

  • Using an image model as a general text chatbot
  • Reading text-token rates as the full image-generation bill
  • This route produces non-text output or rerank results. Listed text-token rates are not a complete workload price; zero text-token rates do not mean free generation. Verify the route-specific billing unit before estimating cost.

Key facts

What we have checked

Price on openai
$2.00 per million cached input tokens
Checked OpenRouter models API
Price on openai
$8.00 per million input tokens
Checked OpenRouter models API
Price on openai
$8.00 per million output tokens
Checked OpenRouter models API
Latest version
openai/gpt-image-2
Checked OpenRouter models API
Time to first token (ms) on openai
19,504
Checked OpenRouter models API
Tokens served on OpenRouter in a day
194.5M (for 10 Nov 2026)
Checked OpenRouter model activity (748 of 748 series)
Tool calls on OpenRouter in a day
0 (for 10 Nov 2026)
Checked OpenRouter model activity (748 of 748 series)

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

API access

How to call it

Call via other with model id `openai/gpt-image-2`.

  • other · openai/gpt-image-2

OpenRouter id: openai/gpt-image-2

Price

What GPT Image 2 costs, over time

Prices by host

HostPriceOver timeChecked
openaiCached input$2.00 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
openaiInput$8.00 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
openaiOutput$8.00 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API

Usage

How much GPT Image 2 is used

Tokens served a day

96.6M to 194.5M

tokens a day on OpenRouter. 19 Sept 2026 to 10 Nov 2026, 53 readings.

Source: OpenRouter model activity (748 of 748 series). Checked .

Sources

Where this comes from

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

USAGE / OPENROUTER

How much GPT Image 2 is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
1.3B ▼6.6%
Requests, last 7 days
543K
Tool calls, last 7 days
—
0250M500M19 Sept: 96.6M tokens, 40.1K requests20 Sept: 118M tokens, 38.7K requests21 Sept: 273M tokens, 68.4K requests22 Sept: 310M tokens, 77.2K requests23 Sept: 213M tokens, 67.4K requests24 Sept: 175M tokens, 60.6K requests25 Sept: 150M tokens, 54.1K requests26 Sept: 103M tokens, 38.3K requests27 Sept: 132M tokens, 41.5K requests28 Sept: 175M tokens, 62.3K requests29 Sept: 170M tokens, 55.6K requests30 Sept: 200M tokens, 58.3K requests1 Oct: 187M tokens, 66.2K requests2 Oct: 193M tokens, 62.1K requests3 Oct: 178M tokens, 57.7K requests4 Oct: 168M tokens, 53.6K requests5 Oct: 179M tokens, 63.8K requests6 Oct: 194M tokens, 65.4K requests7 Oct: 202M tokens, 67.6K requests8 Oct: 191M tokens, 68.6K requests9 Oct: 249M tokens, 84K requests10 Oct: 197M tokens, 70K requests11 Oct: 188M tokens, 64.4K requests12 Oct: 225M tokens, 79.9K requests13 Oct: 237M tokens, 83.4K requests14 Oct: 251M tokens, 92.7K requests15 Oct: 267M tokens, 90.1K requests16 Oct: 256M tokens, 102K requests17 Oct: 173M tokens, 67.4K requests18 Oct: 251M tokens, 103K requests19 Oct: 228M tokens, 94.7K requests20 Oct: 281M tokens, 110K requests21 Oct: 256M tokens, 99.4K requests22 Oct: 278M tokens, 102K requests23 Oct: 245M tokens, 90.5K requests24 Oct: 203M tokens, 79.1K requests25 Oct: 216M tokens, 80.3K requests26 Oct: 243M tokens, 95.9K requests27 Oct: 233M tokens, 86.6K requests28 Oct: 212M tokens, 79.2K requests29 Oct: 229M tokens, 83.6K requests30 Oct: 205M tokens, 75.7K requests31 Oct: 169M tokens, 69.6K requests1 Nov: 152M tokens, 56.8K requests2 Nov: 197M tokens, 77.3K requests3 Nov: 192M tokens, 74.9K requests4 Nov: 205M tokens, 104K requests5 Nov: 209M tokens, 83.3K requests6 Nov: 199M tokens, 80.3K requests7 Nov: 145M tokens, 59.9K requests8 Nov: 122M tokens, 55.4K requests9 Nov: 193M tokens, 78.7K requests10 Nov: 195M tokens, 81.3K requests19 Sept3 Oct17 Oct31 Oct10 NovSee where it ranks on the leaderboard →

MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with GPT Image 2.

Specifications reviewed; no EDNA task evaluation has been run. Sources checked 2026-11-07. Hosting routes and app features can differ.

DeveloperOpenAI
Exact model identifieropenai/gpt-image-2
Inputtext, image
Outputimage
Tool calling
Not established
Structured output
Listed support
Reasoning controls
Not established
Availability
available
Price basis
image
Licence verification
Check the developer licence; the model name is insufficient
Context length
400K tokens
Knowledge cutoff
Not established
Developer release date
Not established
First seen in the catalogue
24 Jun 2026
Listed retirement date
Not established

This route produces non-text output or rerank results. Listed text-token rates are not a complete workload price; zero text-token rates do not mean free generation. Verify the route-specific billing unit before estimating cost.

Consider it for

  • Creating a visual concept from a detailed brief
  • Editing an owned image with a bounded change request

Watch for

  • Using an image model as a general text chatbot
  • Reading text-token rates as the full image-generation bill

PRACTICAL EXERCISE / NOT RUN BY ENTERPRISE DNA

Try the model on a small, checkable task.

Create a square product concept: a matte blue reusable bottle on a cream background, soft left light, no text, no logo, no extra objects.

Check the result: Inspect the generated image for one bottle, requested colour, uncluttered background and absence of text; this example has not been run.

Inspect the sources and their scope
provider source ↗

Developer documentation for model family or task. OpenRouter route-specific properties remain catalogue claims; EDNA has not executed a task evaluation.

Checked 2026-10-19
catalogue source ↗

openai/gpt-image-2: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-11-07
openrouter.ai ↗

Source for first seen, context length, input, output, structured output.

Checked 2026-11-07
How to evaluate a model for your work →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

What would it cost?

Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.

Working out the cost...

Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗

Check the source

This route uses image pricing. A token calculator is not a quote for this model. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

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