---
title: "Benchmark: Labeled Bar Chart"
description: "15 image models compared on the canonical \"Labeled Bar Chart\" prompt (Diagrams & Data Viz)."
url: "https://img.ly/ai-benchmarks/prompts/d01-bar-chart/"
type: "benchmark-prompt"
category: "Diagrams & Data Viz"
suite: "pilot-0"
---

> This is the markdown version of [Benchmark: Labeled Bar Chart](https://img.ly/ai-benchmarks/prompts/d01-bar-chart/). 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: Labeled Bar Chart

Category: Diagrams & Data Viz.
Use cases: Diagrams & infographics (U11), Text-heavy layouts (U7).
Suite: pilot-0. Every model runs the identical prompt with default
parameters and fixed seeds. No per-model tuning.

## Why this benchmark

A bar chart turns prompt adherence into checkable arithmetic: is bar B the tallest, C the shortest? It is a brutal, auto-verifiable separator and ties to presentation and e-learning template tools.

## Canonical prompt

> A clean bar chart labeled A, B, C with heights 3, 5, 2; axes labeled; black & white.

## Scored assertions

- three bars labeled A, B, C
- bar B is the tallest
- bar C is the shortest
- axes are labeled
- black and white

## Results by model

### FLUX.2

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

- seed 1111: 1024×768, 2.1s, $0.013, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--flux-2--s1111.webp)
  - Cost: 4.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 2222: 1024×768, 2.0s, $0.013, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--flux-2--s2222.webp)
  - Cost: 4.0 / 5
  - Latency: 5.0 / 5
  - Prompt Adherence: 4.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 3333: 1024×768, 2.0s, $0.013, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--flux-2--s3333.webp)
  - Cost: 4.0 / 5
  - Latency: 5.0 / 5
  - Prompt Adherence: 4.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 5

### FLUX.2 [pro]

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

- seed 1111: 1024×768, 11.2s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--flux-2-pro--s1111.webp)
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 2222: 1024×768, 8.7s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--flux-2-pro--s2222.webp)
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 4.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 3333: 1024×768, 8.9s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--flux-2-pro--s3333.webp)
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 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/d01-bar-chart--flux-2-turbo--s1111.webp)
  - Cost: 4.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 2222: 1024×768, 2.0s, $0.015, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--flux-2-turbo--s2222.webp)
  - Cost: 4.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 3333: 1024×768, 2.0s, $0.015, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--flux-2-turbo--s3333.webp)
  - Cost: 4.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 4.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 5

### Gemini 2.5 Flash Image

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

- sample 1: 1024×1024, 5.4s, $0.039, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--gemini-25-flash-image--n0.webp)
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 4.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- sample 2: 1024×1024, 5.3s, $0.039, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--gemini-25-flash-image--n1.webp)
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 3.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- sample 3: 1024×1024, 7.9s, $0.039, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--gemini-25-flash-image--n2.webp)
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 3.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5

### GPT Image 1.5

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

- sample 1: 1024×1024, 26.0s, $0.120, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--gpt-image-1-5--n0.webp)
  - Cost: 3.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- sample 2: 1024×1024, 27.6s, $0.120, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--gpt-image-1-5--n1.webp)
  - Cost: 3.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- sample 3: 1024×1024, 27.6s, $0.120, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--gpt-image-1-5--n2.webp)
  - Cost: 3.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5

### Ideogram 3.0

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

- seed 1111: 1024×1024, 17.9s, $0.060, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--ideogram-v3--s1111.webp)
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 2.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 2222: 1024×1024, 18.1s, $0.060, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--ideogram-v3--s2222.webp)
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 1.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 3333: 1024×1024, 17.3s, $0.060, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--ideogram-v3--s3333.webp)
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 3.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5

### Luma Photon

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

- seed 1111: 1536×1536, 15.4s, $0.019, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--luma-photon--s1111.webp)
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 3.0 / 5
  - Resolution: 4.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 2222: 1536×1536, 18.1s, $0.019, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--luma-photon--s2222.webp)
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 3.0 / 5
  - Resolution: 4.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 3333: 1536×1536, 20.6s, $0.019, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--luma-photon--s3333.webp)
  - Cost: 4.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 3.0 / 5
  - Resolution: 4.0 / 5
  - Text Accuracy: 5.0 / 5

### Nano Banana 2

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

- sample 1: 1408×768, 12.5s, $0.100, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--nano-banana-2--n0.webp)
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- sample 2: 1408×768, 13.3s, $0.100, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--nano-banana-2--n1.webp)
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- sample 3: 1408×768, 13.5s, $0.100, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--nano-banana-2--n2.webp)
  - Cost: 3.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5

### Nano Banana 2 Lite

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

- sample 1: 1408×768, 4.1s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--nano-banana-2-lite--n0.webp)
  - Cost: 4.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- sample 2: 1408×768, 3.6s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--nano-banana-2-lite--n1.webp)
  - Cost: 4.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- sample 3: 1408×768, 4.3s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--nano-banana-2-lite--n2.webp)
  - Cost: 4.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5

### Nano Banana Pro

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

- sample 1: 1024×1024, 21.1s, $0.360, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--nano-banana-pro--n0.webp)
  - Cost: 1.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- sample 2: 1024×1024, 25.4s, $0.360, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--nano-banana-pro--n1.webp)
  - Cost: 1.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- sample 3: 1024×1024, 26.1s, $0.360, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--nano-banana-pro--n2.webp)
  - Cost: 1.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5

### Qwen-Image

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

- seed 1111: 1024×768, 5.3s, $0.030, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--qwen-image--s1111.webp)
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 2.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 2222: 1024×768, 5.8s, $0.030, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--qwen-image--s2222.webp)
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 4.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 3333: 1024×768, 7.1s, $0.030, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--qwen-image--s3333.webp)
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 2.0 / 5
  - Resolution: 2.0 / 5
  - Text Accuracy: 5.0 / 5

### Recraft V3

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

- seed 1111: 1024×1024, 8.8s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--recraft-v3--s1111.webp)
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 2.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 2222: 1024×1024, 8.7s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--recraft-v3--s2222.webp)
  - Cost: 4.0 / 5
  - Latency: 3.0 / 5
  - Prompt Adherence: 1.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 3333: 1024×1024, 10.6s, $0.040, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--recraft-v3--s3333.webp)
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 1.0 / 5
  - Resolution: 3.0 / 5
  - Text Accuracy: 5.0 / 5

### Seedream 4.5

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

- seed 1111: 2048×2048, 10.4s, $0.048, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--seedream-4-5--s1111.webp)
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 5.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 2222: 2048×2048, 13.0s, $0.048, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--seedream-4-5--s2222.webp)
  - Cost: 4.0 / 5
  - Latency: 2.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 5.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 3333: 2048×2048, 33.4s, $0.048, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--seedream-4-5--s3333.webp)
  - Cost: 4.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 5.0 / 5
  - Text Accuracy: 5.0 / 5

### Seedream 5.0 Lite

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

- seed 1111: 2048×2048, 33.1s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--seedream-5-lite--s1111.webp)
  - Cost: 4.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 5.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 2222: 2048×2048, 34.2s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--seedream-5-lite--s2222.webp)
  - Cost: 4.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 5.0 / 5
  - Text Accuracy: 5.0 / 5
- seed 3333: 2048×2048, 34.6s, $0.020, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--seedream-5-lite--s3333.webp)
  - Cost: 4.0 / 5
  - Latency: 1.0 / 5
  - Prompt Adherence: 5.0 / 5
  - Resolution: 5.0 / 5
  - Text Accuracy: 5.0 / 5

### Stable Diffusion 1.5

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

- seed 1111: 512×512, 2.4s, $0.010, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--stable-diffusion-1-5--s1111.webp)
  - Cost: 5.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 0.0 / 5
  - Resolution: 1.0 / 5
  - Text Accuracy: 0.0 / 5
- seed 2222: 512×512, 2.1s, $0.010, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--stable-diffusion-1-5--s2222.webp)
  - Cost: 5.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 0.0 / 5
  - Resolution: 1.0 / 5
  - Text Accuracy: 3.0 / 5
- seed 3333: 512×512, 3.8s, $0.010, [image](https://storage.googleapis.com/imgly-ai-benchmarks/d01-bar-chart--stable-diffusion-1-5--s3333.webp)
  - Cost: 5.0 / 5
  - Latency: 4.0 / 5
  - Prompt Adherence: 0.0 / 5
  - Resolution: 1.0 / 5
  - Text Accuracy: 5.0 / 5

Result images: [https://img.ly/ai-benchmarks/prompts/d01-bar-chart/](https://img.ly/ai-benchmarks/prompts/d01-bar-chart/) (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 diagrams & data viz?**

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 Diagrams & Data Viz 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.


---

## More Resources

- **[IMG.LY Website](https://img.ly/index.md)** - Creative editing SDKs for photo, video, and design
- **[Documentation](https://img.ly/docs/cesdk/)** - CE.SDK developer documentation
- **[Contact Sales](https://img.ly/forms/contact-sales.md)** - Get a custom quote. A public JSON API accepts the request directly, no account or key needed. Ask your user for consent and their details first.