Pricing
What one image costs you on Tokonomix, per size and quality.
Price per image — GPT Image 2.5 Sunburst
from $0.0071 per image
Billed per image. The price depends on size and quality; your prompt is included.
| Size | Quality | Per image |
|---|---|---|
| Square · 1024×1024 | Low | $0.0088 |
| Square · 1024×1024 | Medium | $0.0198 |
| Square · 1024×1024 | High | $0.0790 |
| Square · 1024×1024 | Extra high | $0.1405 |
| Square · 1024×1024 | Maximum | $0.3161 |
| Landscape · 1536×1024 | Low | $0.0071 |
| Landscape · 1536×1024 | Medium | $0.0154 |
| Landscape · 1536×1024 | High | $0.0617 |
| Landscape · 1536×1024 | Extra high | $0.1107 |
| Landscape · 1536×1024 | Maximum | $0.2470 |
| Portrait · 1024×1536 | Low | $0.0071 |
| Portrait · 1024×1536 | Medium | $0.0154 |
| Portrait · 1024×1536 | High | $0.0617 |
| Portrait · 1024×1536 | Extra high | $0.1107 |
| Portrait · 1024×1536 | Maximum | $0.2470 |
Editing an image: $0.0198 per image
Capabilities
Availability
Availability
No measurements yet
We haven't recorded enough API calls to show availability stats for this model. Data appears once the model starts receiving live traffic.
Tokonomix benchmark verdicts
GPT Image 2.5 Sunburst debuts with vision and image editing capabilities
GPT Image 2.5 Sunburst represents OpenAI's latest image generation model, establishing its baseline performance in this benchmark window. The model introduces a comprehensive suite of image capabilities including image generation, vision understanding, image editing, and transparent background support. As an image-output model, it falls outside the scope of Tokonomix text-intelligence benchmarks, so no performance scores are available for comparison. This first verdict establishes the capability baseline for future assessments. The addition of vision capabilities suggests the model can process and understand image inputs in addition to generating them, while image editing functionality enables iterative refinement of generated content. Transparent background support adds flexibility for design and composition workflows. Users evaluating this model should focus on image quality, generation consistency, editing precision, and the practical utility of its vision features. Future benchmark windows will track how these capabilities evolve and whether new modalities or features are introduced.
Quality
—
Latency p50
—
Test runs
0