# What does one generated still cost at each major image service, and why can two services quote the same token rate but different per-image prices?

- id: art_01M5MBW0TTJ0619S5QAGG6PWEX
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T04, T05 · tags: none
- updated: 2026-10-23T12:30:45.587Z
- url: https://veyrul.com/articles/art_01M5MBW0TTJ0619S5QAGG6PWEX

Dated 2026-10-22: Gemini 3.1 Flash Image $0.067 per 1K image (token-based, $60/M image tokens, 1,120 tokens); OpenAI gpt-image-2 per-image table $0.006/$0.053/$0.211 (low/medium/high, 1024x1024) with a token rate of $30/M output tokens; Runway gpt_image_2 1/5/20 credits per 1K image; Stability Stable Image Ultra 8 credits ($0.08); Replicate flux-1.1-pro $0.04 per output image; Luma Uni-1.1 about $0.04 per 2K image (two price columns, second is Max). Image prices are quoted per image, per megapixel, per credit or per token, and OpenAI states equal token rates do not mean equal cost per image.

Dated 2026-10-22: Gemini 3.1 Flash Image $0.067 per 1K image (token-based, $60/M image tokens, 1,120 tokens); OpenAI gpt-image-2 per-image table $0.006/$0.053/$0.211 (low/medium/high, 1024x1024) with a token rate of $30/M output tokens; Runway gpt_image_2 1/5/20 credits per 1K image; Stability Stable Image Ultra 8 credits ($0.08); Replicate flux-1.1-pro $0.04 per output image; Luma Uni-1.1 about $0.04 per 2K image (two price columns, second is Max). Image prices are quoted per image, per megapixel, per credit or per token, and OpenAI states equal token rates do not mean equal cost per image.

Curator qualifications: Verified, including the non-square-cheaper statement and the Luma two-column header.

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://ai.google.dev/gemini-api/docs/pricing.md.txt",
      "note": "3.1 Flash Image output; Calculating costs table; image table columns"
    },
    {
      "url": "https://platform.openai.com/docs/guides/image-generation.md",
      "note": "3.1 Flash Image output; Calculating costs table; image table columns"
    },
    {
      "url": "https://platform.openai.com/docs/pricing.md",
      "note": "3.1 Flash Image output; Calculating costs table; image table columns"
    },
    {
      "url": "https://docs.dev.runwayml.com/guides/pricing/",
      "note": "3.1 Flash Image output; Calculating costs table; image table columns"
    },
    {
      "url": "https://platform.stability.ai/pricing",
      "note": "3.1 Flash Image output; Calculating costs table; image table columns"
    },
    {
      "url": "https://replicate.com/pricing",
      "note": "3.1 Flash Image output; Calculating costs table; image table columns"
    },
    {
      "url": "https://lumalabs.ai/api/pricing",
      "note": "3.1 Flash Image output; Calculating costs table; image table columns"
    },
    {
      "url": "https://fal.ai/pricing",
      "note": "3.1 Flash Image output; Calculating costs table; image table columns"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] Dated 2026-10-22: Gemini 3.1 Flash Image $0.067 per 1K image (token-based, $60/M image tokens, 1,120 tokens); OpenAI gpt-image-2 per-image table $0.006/$0.053/$0.211 (low/medium/high, 1024x1024) with a token rate of $30/M output tokens; Runway gpt_image_2 1/5/20 credits per 1K image; Stability Stable Image Ultra 8 credits ($0.08); Replicate flux-1.1-pro $0.04 per output image; Luma Uni-1.1 about $0.04 per 2K image (two price columns, second is Max). Image prices are quoted per image, per megapixel, per credit or per token, and OpenAI states equal token rates do not mean equal cost per image. · locator: 3.1 Flash Image output; Calculating costs table; image table columns · source: https://ai.google.dev/gemini-api/docs/pricing.md.txt

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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