---
title: "Benchmark: Two-Color Illustration"
description: "15 image models compared on the canonical \"Two-Color Illustration\" prompt (Brand-Color Fidelity)."
url: "https://img.ly/ai-benchmarks/prompts/b01-two-color/"
type: "benchmark-prompt"
category: "Brand-Color Fidelity"
suite: "pilot-0"
---

> This is the markdown version of [Benchmark: Two-Color Illustration](https://img.ly/ai-benchmarks/prompts/b01-two-color/). For all pages in one file, see [llms-full.txt](https://img.ly/llms-full.txt). For an index of all available pages, see [llms.txt](https://img.ly/llms.txt).

---

# Benchmark: Two-Color Illustration

Category: Brand-Color Fidelity.
Use cases: Marketing & ad creative (U1), Personalization at scale (U6).
Suite: pilot-0. Every model runs the identical prompt with default
parameters and fixed seeds. No per-model tuning.

## Why this benchmark

This prompt names two exact brand colors by hex and asks the model to use only those. We compare the color each model actually rendered against the requested values with the CIEDE2000 distance, the same perceptual metric print shops use. Brand-color fidelity is non-negotiable for marketing and packaging work, and it is one of the few quality criteria we can measure automatically and objectively, which is why it anchors the pilot.

## Canonical prompt

> Flat illustration of a delivery scooter rider, using exactly two brand colors: #FF3B30 red and #1D1D1F near-black, on pure white background.

## Scored assertions

- delivery scooter rider is the subject
- flat illustration style
- only the two brand colors are used
- pure white background

## Results by model

### FLUX.2

[Model profile](https://img.ly/ai-benchmarks/models/flux-2.md)

- seed 1111: 1024×768, 2.0s, $0.013, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--flux-2--s1111.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 5.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 2.0 / 5
- seed 2222: 1024×768, 2.0s, $0.013, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--flux-2--s2222.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 4.0 / 5
  - Latency: 5.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 2.0 / 5
- seed 3333: 1024×768, 2.0s, $0.013, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--flux-2--s3333.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 4.0 / 5
  - Latency: 5.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 2.0 / 5

### FLUX.2 [pro]

[Model profile](https://img.ly/ai-benchmarks/models/flux-2-pro.md)

- seed 1111: 1024×768, 10.7s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--flux-2-pro--s1111.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 2.0 / 5
- seed 2222: 1024×768, 9.3s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--flux-2-pro--s2222.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 2.0 / 5
- seed 3333: 1024×768, 10.8s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--flux-2-pro--s3333.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 2.0 / 5

### FLUX.2 [dev] Turbo

[Model profile](https://img.ly/ai-benchmarks/models/flux-2-turbo.md)

- seed 1111: 1024×768, 2.0s, $0.015, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--flux-2-turbo--s1111.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 4.0 / 5
  - Latency: 5.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 2.0 / 5
- seed 2222: 1024×768, 2.0s, $0.015, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--flux-2-turbo--s2222.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 2.0 / 5
- seed 3333: 1024×768, 2.0s, $0.015, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--flux-2-turbo--s3333.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 4.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 2.0 / 5

### Gemini 2.5 Flash Image

[Model profile](https://img.ly/ai-benchmarks/models/gemini-25-flash-image.md)

- sample 1: 1024×1024, 7.1s, $0.039, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--gemini-25-flash-image--n0.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
- sample 2: 1024×1024, 5.3s, $0.039, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--gemini-25-flash-image--n1.webp)
  - Color Accuracy: 0.0 / 5
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
- sample 3: 1024×1024, 5.7s, $0.039, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--gemini-25-flash-image--n2.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5

### GPT Image 1.5

[Model profile](https://img.ly/ai-benchmarks/models/gpt-image-1-5.md)

- sample 1: 1024×1024, 28.2s, $0.120, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--gpt-image-1-5--n0.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 3.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
- sample 2: 1024×1024, 29.4s, $0.120, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--gpt-image-1-5--n1.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 3.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
- sample 3: 1024×1024, 31.0s, $0.120, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--gpt-image-1-5--n2.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 3.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5

### Ideogram 3.0

[Model profile](https://img.ly/ai-benchmarks/models/ideogram-v3.md)

- seed 1111: 1024×1024, 18.6s, $0.060, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--ideogram-v3--s1111.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 3.0 / 5
- seed 2222: 1024×1024, 19.5s, $0.060, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--ideogram-v3--s2222.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
- seed 3333: 1024×1024, 17.3s, $0.060, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--ideogram-v3--s3333.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 3.0 / 5

### Luma Photon

[Model profile](https://img.ly/ai-benchmarks/models/luma-photon.md)

- seed 1111: 1536×1536, 16.0s, $0.019, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--luma-photon--s1111.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 4.0 / 5
- seed 2222: 1536×1536, 15.6s, $0.019, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--luma-photon--s2222.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 4.0 / 5
- seed 3333: 1536×1536, 16.6s, $0.019, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--luma-photon--s3333.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 4.0 / 5

### Nano Banana 2

[Model profile](https://img.ly/ai-benchmarks/models/nano-banana-2.md)

- sample 1: 1408×768, 13.8s, $0.100, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--nano-banana-2--n0.webp)
  - Color Accuracy: 5.0 / 5
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 3.0 / 5
- sample 2: 1408×768, 11.8s, $0.100, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--nano-banana-2--n1.webp)
  - Color Accuracy: 5.0 / 5
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
- sample 3: 1408×768, 15.8s, $0.100, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--nano-banana-2--n2.webp)
  - Color Accuracy: 5.0 / 5
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5

### Nano Banana 2 Lite

[Model profile](https://img.ly/ai-benchmarks/models/nano-banana-2-lite.md)

- sample 1: 1408×768, 5.0s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--nano-banana-2-lite--n0.webp)
  - Color Accuracy: 5.0 / 5
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
- sample 2: 1408×768, 3.9s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--nano-banana-2-lite--n1.webp)
  - Color Accuracy: 2.0 / 5
  - Cost: 4.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
- sample 3: 1408×768, 4.0s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--nano-banana-2-lite--n2.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5

### Nano Banana Pro

[Model profile](https://img.ly/ai-benchmarks/models/nano-banana-pro.md)

- sample 1: 1024×1024, 30.2s, $0.360, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--nano-banana-pro--n0.webp)
  - Color Accuracy: 5.0 / 5
  - Cost: 1.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
- sample 2: 1024×1024, 18.9s, $0.360, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--nano-banana-pro--n1.webp)
  - Color Accuracy: 5.0 / 5
  - Cost: 1.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
- sample 3: 1024×1024, 27.3s, $0.360, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--nano-banana-pro--n2.webp)
  - Color Accuracy: 5.0 / 5
  - Cost: 1.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5

### Qwen-Image

[Model profile](https://img.ly/ai-benchmarks/models/qwen-image.md)

- seed 1111: 1024×768, 8.6s, $0.030, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--qwen-image--s1111.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 2.5 / 5
  - Resolution: 2.0 / 5
- seed 2222: 1024×768, 6.9s, $0.030, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--qwen-image--s2222.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 1.3 / 5
  - Resolution: 2.0 / 5
- seed 3333: 1024×768, 6.2s, $0.030, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--qwen-image--s3333.webp)
  - Color Accuracy: 5.0 / 5
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 2.0 / 5

### Recraft V3

[Model profile](https://img.ly/ai-benchmarks/models/recraft-v3.md)

- seed 1111: 1024×1024, 6.9s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--recraft-v3--s1111.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 2.5 / 5
  - Resolution: 3.0 / 5
- seed 2222: 1024×1024, 8.7s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--recraft-v3--s2222.webp)
  - Color Accuracy: 2.0 / 5
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 2.5 / 5
  - Resolution: 3.0 / 5
- seed 3333: 1024×1024, 7.6s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--recraft-v3--s3333.webp)
  - Color Accuracy: 2.0 / 5
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 2.5 / 5
  - Resolution: 3.0 / 5

### Seedream 4.5

[Model profile](https://img.ly/ai-benchmarks/models/seedream-4-5.md)

- seed 1111: 2048×2048, 10.5s, $0.048, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--seedream-4-5--s1111.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 5.0 / 5
- seed 2222: 2048×2048, 12.0s, $0.048, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--seedream-4-5--s2222.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 5.0 / 5
- seed 3333: 2048×2048, 102.8s, $0.048, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--seedream-4-5--s3333.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 5.0 / 5

### Seedream 5.0 Lite

[Model profile](https://img.ly/ai-benchmarks/models/seedream-5-lite.md)

- seed 1111: 2048×2048, 46.2s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--seedream-5-lite--s1111.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 4.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 5.0 / 5
- seed 2222: 2048×2048, 29.2s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--seedream-5-lite--s2222.webp)
  - Color Accuracy: 2.0 / 5
  - Cost: 4.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 3.8 / 5
  - Resolution: 5.0 / 5
- seed 3333: 2048×2048, 32.3s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--seedream-5-lite--s3333.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 4.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 5.0 / 5

### Stable Diffusion 1.5

[Model profile](https://img.ly/ai-benchmarks/models/stable-diffusion-1-5.md)

- seed 1111: 512×512, 1.9s, $0.010, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--stable-diffusion-1-5--s1111.webp)
  - Color Accuracy: 4.0 / 5
  - Cost: 5.0 / 5
  - Latency: 5.0 / 5
  - Prompt Adherence: 2.5 / 5
  - Resolution: 1.0 / 5
- seed 2222: 512×512, 3.6s, $0.010, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--stable-diffusion-1-5--s2222.webp)
  - Color Accuracy: 2.0 / 5
  - Cost: 5.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 2.5 / 5
  - Resolution: 1.0 / 5
- seed 3333: 512×512, 2.5s, $0.010, [image](https://storage.googleapis.com/imgly-ai-benchmarks/b01-two-color--stable-diffusion-1-5--s3333.webp)
  - Color Accuracy: 3.0 / 5
  - Cost: 5.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 2.5 / 5
  - Resolution: 1.0 / 5

Result images: [https://img.ly/ai-benchmarks/prompts/b01-two-color/](https://img.ly/ai-benchmarks/prompts/b01-two-color/) (interactive grid with lightbox).

## Frequently asked questions

**Why am I seeing three samples per benchmark?**

Image generation is stochastic: the same prompt produces different images on every run, so a single sample measures luck, not ability. Every model runs each benchmark three times with fixed seeds (1111, 2222, 3333), or three unseeded samples where the API accepts no seed. Scores average all three samples, and the consistency benchmarks measure the variation itself.

**Do all AI models get the identical prompt?**

Yes. Every model receives the same prompt text with default parameters and no per-model tuning, so differences in output reflect the model, not prompt engineering. The suite is versioned and prompts are append-only, which keeps historical scores comparable.

**Which AI image model is best at brand-color fidelity?**

The results on this page are scored on this exact prompt, so the strongest model for it is easy to spot; this benchmark sits in the Brand-Color Fidelity category. Scores are per model version and reflect this benchmark only. For a ranking across every benchmark see the model rankings, and to weight the numbers by a specific job see the use-case pages.

**How are the benchmark scores calculated?**

Each image is scored 0 to 5 per criterion. Measured criteria (resolution, latency, cost, transparency, color accuracy) are computed automatically; quality criteria (text accuracy, prompt adherence, composition) are judged by an automated Claude vision tier against each prompt’s checklist. Page scores are unweighted means over all of a model’s runs in that scope. Blind expert-panel review has not run yet; the dataset is pilot-0.

**Can I use AI-generated images like these in production?**

Model output is a starting point, not a finished asset. Production work usually needs background removal, exact brand colors or editable text, none of which generation guarantees on every run. The IMG.LY AI Editor gives your users those controls to refine any model’s output to production quality.

**How often is the benchmark updated?**

The suite re-runs on notable model releases so the rankings stay current. The results shown are the pilot-0 dataset, scored by measured criteria plus an automated Claude vision tier, with blind expert review planned. Prompts are versioned and append-only, so scores stay comparable across runs.


---

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- **[IMG.LY Website](https://img.ly/index.md)** - Creative editing SDKs for photo, video, and design
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