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Tier A — Frontier
Runs in:USMade in:United States
OpenAI

GPT Image 2.5 Flare

Tier A — Frontier

Tokonomix Editorial Team·Reviewed by Mes Kalkan·
Section 01

Pricing

What one image costs you on Tokonomix, per size and quality.

Price per image — GPT Image 2.5 Flare

from $0.0071 per image

Billed per image. The price depends on size and quality; your prompt is included.

SizeQualityPer image
Square · 1024×1024Low$0.0088
Square · 1024×1024Medium$0.0198
Square · 1024×1024High$0.0790
Square · 1024×1024Extra high$0.1405
Square · 1024×1024Maximum$0.3161
Landscape · 1536×1024Low$0.0071
Landscape · 1536×1024Medium$0.0154
Landscape · 1536×1024High$0.0617
Landscape · 1536×1024Extra high$0.1107
Landscape · 1536×1024Maximum$0.2470
Portrait · 1024×1536Low$0.0071
Portrait · 1024×1536Medium$0.0154
Portrait · 1024×1536High$0.0617
Portrait · 1024×1536Extra high$0.1107
Portrait · 1024×1536Maximum$0.2470

Editing an image: $0.0198 per image

Section 02

Capabilities

source: openai-docs+measured-2026-09-16visionpdf inputimage editingimage generationtransparent background
Section 03

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.

Section 04

Tokonomix benchmark verdicts

● 2026-11-08

New multimodal image model with generation, editing, and vision capabilities

GPT Image 2.5 Flare represents OpenAI's entry into multimodal image processing, combining generation, editing, and vision capabilities in a single model. This is the first benchmark window for this model, introducing four key capabilities: vision for image understanding, image editing for modifications to existing images, image generation for creating new images from prompts, and transparent background support for generating images with alpha channels. As an image-output model, it is not evaluated on text-intelligence benchmarks. The model appears positioned for creative and visual workflow applications where users need flexible image manipulation alongside generation. Without performance data from previous windows, it's not possible to assess improvements or regressions. Users exploring this model should focus on evaluating image quality, adherence to prompts, editing precision, and vision understanding accuracy for their specific use cases. The transparent background capability suggests particular attention to design and asset creation workflows.

Quality

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Latency p50

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Test runs

0

✓ New vision capability added✓ Image editing now supported✓ Image generation available✓ Transparent backgrounds supported
Last automated test
— · Benchmark
P50 latency
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P95 latency
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Errors
0 / 0 runs
Last reviewed by Tokonomix Team·September 15, 2026