Cost and latency

GPT Image 2.5 costs

Responses API requests include the mainline model's token usage in addition to image generation costs.

Both GPT Image 2.5 models use the same token rates: $8 per million image input tokens, $2 per million cached image input tokens, $30 per million image output tokens, $5 per million text input tokens, and $1.25 per million cached text input tokens. See pricing.

Use the response's usage to measure token consumption for your prompts, sizes, and quality settings. Equal token rates don't mean equal cost per image: token consumption can differ by model and quality setting. For older-model pricing examples, see Earlier GPT Image models.

GPT Image 2.5 and GPT Image 2 output tokens

Select a model, quality, and size to estimate output tokens and image output cost. For gpt-image-2.5-sunburst and gpt-image-2.5-flare, the quality options are low, medium, high, xhigh, and max. For gpt-image-2, the options are low, medium, and high. The models can use different token counts for the same quality setting and share the same price per image output token. Use explicit quality and size values for this estimate; auto depends on the generated image.

<GptImageTokenCalculator client:load outputPricePerMillion={Number( pricing.latest.subsections .find((section) => section.price_type === "Image tokens") ?.items.find((item) => item.name === "gpt-image-2")?.values.main.output )} />

Partial images cost

If you want to stream image generation using the partial_images parameter, each partial image will incur an additional 100 image output tokens.