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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

● 2026-09-20

First-generation multimodal image model with editing and generation

GPT Image 2.5 Flare marks OpenAI's entry into image generation and manipulation capabilities. This baseline model introduces vision understanding, image generation from text prompts, image editing functionality, and transparent background support. As a first-generation release, users should expect this model to establish the foundation for OpenAI's image generation capabilities rather than represent a mature, iterated product. The multimodal approach combines visual input processing with image output creation, enabling workflows that span understanding and generation tasks. Key capabilities include creating images from textual descriptions, modifying existing images based on instructions, and handling transparency for compositing workflows. Without historical performance data or text-based benchmarks to reference, evaluation centers on the breadth of announced capabilities rather than comparative quality metrics. Users exploring this model should focus on testing across the full range of vision, generation, and editing features to understand its practical strengths and limitations in production environments.

Quality

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Latency p50

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Test runs

0

✓ Image generation capability added✓ Vision understanding introduced✓ Image editing support enabled✓ Transparent background handling
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