GPT-Image-1.5

Image inputImage output

Website

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

Released: 10mo ago
Pricing: Not published

Sources:models.dev

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

No benchmark results have been matched to this model yet.

Specifications

Developer: OpenAI
Model family: GPT
Type: Image generation
Predecessor: —
Successor: —
Released: November 25, 2025
Model ID: openai/gpt-image-1.5
Openness: Closed
License: —
Input modalities: text, image
Output modalities: text, image
Modality: text+image->text+image
Hugging Face: —
Source freshness: Metadata synced Oct 8, 2026, 10:17 PM UTC

Additional source evidence

Source model: openai/gpt-image-1.5
Source family: gpt-image
Last updated: 2025-11-25
Model context: —
Model output limit: —
Open weights: No
File attachments: Yes
Reasoning: No
Tool calling: No
Temperature control: No

Complete source record (JSON)

{
  "id": "openai/gpt-image-1.5",
  "name": "GPT-Image-1.5",
  "description": "Image model for prompt-driven generation, editing, and visual design workflows",
  "family": "gpt-image",
  "last_updated": "2025-11-25",
  "attachment": true,
  "reasoning": false,
  "tool_call": false,
  "temperature": false,
  "modalities": {
    "input": [
      "text",
      "image"
    ],
    "output": [
      "text",
      "image"
    ]
  },
  "limit": {
    "context": 0,
    "output": 0
  },
  "release_date": "2025-11-25",
  "open_weights": false
}

Infrastructure

Provider availability

All providers

Provider-specific media pricing is not available in the imported source data yet.

Text provenance

EU · product-scoped

OpenAI textGrain watermarking

In the EU, ChatGPT-generated text uses textGrain. OpenAI says API customers can opt in globally for select models, so watermarking depends on the product surface and configuration.

Official explanation