--- title: "FLUX 3 Image Benchmark Results" description: "Black Forest Labs' third-generation flagship, released October 2026, with structured bounding-box layout control and native output up to 4K." url: "https://img.ly/ai-benchmarks/models/flux-3/" type: "benchmark-model" provider: "Black Forest Labs" tier: "extended" costPerImageUsd: 0.048 --- > This is the markdown version of [FLUX 3 Image Benchmark Results](https://img.ly/ai-benchmarks/models/flux-3/). 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). --- # FLUX 3 Image Black Forest Labs' third-generation flagship, released October 2026, with structured bounding-box layout control and native output up to 4K. FLUX 3 Image is Black Forest Labs' October 2026 flagship, and it builds a better file than the FLUX.2 base model it succeeds, at 3.27 against 3.05 across the six criteria that describe the output. Prompt adherence rises from 4.37 to 4.72 and brand color from 2.78 to 3.00. The blended ranking still puts it seventeenth of 26 at 3.22, nine places below FLUX.2, because the gains cost four times the price at $0.048 per image and a 26.7 second median against 2.0. At default settings it returns about one megapixel. Black Forest Labs advertises native output up to 4K, which this benchmark does not measure, since every model runs at its default parameters. Like every model added in October it returns no alpha channel. For integrators it is a quality step for jobs where adherence and color matter more than speed, while FLUX.2 stays the volume route. ## Why it stands out - A better file than FLUX.2, at 3.27 against 3.05 across the six criteria that describe the output. - Prompt adherence at 4.72 and brand color at 3.00, both ahead of its predecessor. - Seventeenth of 26 overall, held back by $0.048 per image and a 26.7 second median. - About one megapixel at default settings and no alpha channel. Native 4K output is advertised but not benchmarked. - Provider: Black Forest Labs - Tier: extended - Benchmarked endpoint: fal:blackforestlabs/flux-3/text-to-image - Available on the IMG.LY AI Gateway: no - Cost per image: $0.048 - p50 latency: 26.7s - Images benchmarked: 111 - Licensing: Commercial use via hosted API terms (Black Forest Labs / fal). ## Scores by criterion (auto tier) - Transparency: 0.0 / 5 (9 scores across 9 runs) - Color Accuracy: 3.0 / 5 (9 scores across 9 runs) - Composition: 4.0 / 5 (9 scores across 9 runs) - Cost: 4.0 / 5 (111 scores across 111 runs) - Latency: 2.1 / 5 (111 scores across 111 runs) - Prompt Adherence: 4.7 / 5 (111 scores across 111 runs) - Resolution: 3.0 / 5 (111 scores across 111 runs) - Text Accuracy: 4.9 / 5 (24 scores across 24 runs) Blended overall (each scored criterion one equal vote): 3.22 / 5. Includes the interim Claude-VLM quality tier (prompt adherence, composition); not yet blind expert-panel reviewed. Because the blend is unweighted, cost and latency pull cheap, fast models above premium flagships. The use-case pages reweight the same measurements by job. ## Scores by category - Typography & Text Rendering: 3.8 / 5 - Logos, Icons & Vector-Style: 3.5 / 5 - Brand-Color Fidelity: 3.5 / 5 - Transparency & Cutouts: 2.6 / 5 - Composition & Negative Space: 3.5 / 5 - Spatial & Compositional Adherence: 3.5 / 5 - Human Subjects: Faces & Hands: 3.5 / 5 - Product & E-Commerce Staging: 3.5 / 5 - Consistency & Repeatability: 3.2 / 5 - Print Detail & Resolution: 3.5 / 5 - Style Adherence & Art Direction: 3.5 / 5 - Print-Production Graphics: 3.8 / 5 - UI & Design Mockups: 3.8 / 5 - Diagrams & Data Viz: 3.9 / 5 - Structured Spec Adherence: 3.2 / 5 ## Benchmarks featuring this model **Typography & Text Rendering** - [Wordmark](https://img.ly/ai-benchmarks/prompts/t04-wordmark.md) - [Poster Headline](https://img.ly/ai-benchmarks/prompts/t01-poster-headline.md) - [Product Label](https://img.ly/ai-benchmarks/prompts/t02-dense-label.md) - [CJK Neon Sign](https://img.ly/ai-benchmarks/prompts/t05-cjk-sign.md) **Logos, Icons & Vector-Style** - [Mascot Logo](https://img.ly/ai-benchmarks/prompts/l02-mascot.md) - [Icon Set](https://img.ly/ai-benchmarks/prompts/l01-icon-set.md) - [Monochrome Emblem](https://img.ly/ai-benchmarks/prompts/l03-emblem.md) **Brand-Color Fidelity** - [Two-Color Illustration](https://img.ly/ai-benchmarks/prompts/b01-two-color.md) - [Duotone Portrait](https://img.ly/ai-benchmarks/prompts/b03-duotone.md) - [ColorChecker Chart](https://img.ly/ai-benchmarks/prompts/b04-colorchecker.md) - [Smooth Gradient](https://img.ly/ai-benchmarks/prompts/b05-gradient-banding.md) **Transparency & Cutouts** - [Die-Cut Sticker](https://img.ly/ai-benchmarks/prompts/c01-sticker.md) - [T-Shirt Graphic](https://img.ly/ai-benchmarks/prompts/c02-shirt-graphic.md) - [Isolated Cutout](https://img.ly/ai-benchmarks/prompts/c03-isolated-object.md) **Composition & Negative Space** - [Banner with Negative Space](https://img.ly/ai-benchmarks/prompts/n01-banner.md) - [Vertical Story Background](https://img.ly/ai-benchmarks/prompts/n02-story-bg.md) - [Centered Product Margin](https://img.ly/ai-benchmarks/prompts/n03-margin-product.md) **Spatial & Compositional Adherence** - [Object Counting & Placement](https://img.ly/ai-benchmarks/prompts/x01-objects.md) - [Scene Relations](https://img.ly/ai-benchmarks/prompts/x02-scene-relations.md) - [Negation: Clean Background](https://img.ly/ai-benchmarks/prompts/x03-negation.md) **Human Subjects: Faces & Hands** - [Hand Holding a Sphere](https://img.ly/ai-benchmarks/prompts/h03-sphere-grip.md) **Product & E-Commerce Staging** - [Cosmetics Hero](https://img.ly/ai-benchmarks/prompts/p01-cosmetics.md) - [Floating Sneaker](https://img.ly/ai-benchmarks/prompts/p02-sneaker.md) **Consistency & Repeatability** - [Character Series: Greenhouse](https://img.ly/ai-benchmarks/prompts/s01-character-greenhouse.md) - [Character Series: Desk](https://img.ly/ai-benchmarks/prompts/s02-character-desk.md) - [Character Series: Market](https://img.ly/ai-benchmarks/prompts/s03-character-market.md) **Print Detail & Resolution** - [Fine-Line Mandala](https://img.ly/ai-benchmarks/prompts/r01-mandala.md) - [Illustrated Map](https://img.ly/ai-benchmarks/prompts/r02-map.md) **Style Adherence & Art Direction** - [Mid-Century Travel Poster](https://img.ly/ai-benchmarks/prompts/a01-travel-poster.md) - [Isometric Office](https://img.ly/ai-benchmarks/prompts/a03-isometric.md) **Print-Production Graphics** - [Greeting Card](https://img.ly/ai-benchmarks/prompts/g01-greeting-card.md) - [Seamless Pattern Tile](https://img.ly/ai-benchmarks/prompts/g03-pattern-tile.md) - [Stationery Mockup](https://img.ly/ai-benchmarks/prompts/g04-stationery-mockup.md) - [Three-Panel Comic](https://img.ly/ai-benchmarks/prompts/g05-comic-strip.md) **UI & Design Mockups** - [E-Commerce Product Page](https://img.ly/ai-benchmarks/prompts/ui03-pdp.md) **Diagrams & Data Viz** - [Labeled Bar Chart](https://img.ly/ai-benchmarks/prompts/d01-bar-chart.md) **Structured Spec Adherence** - [Structured JSON Scene](https://img.ly/ai-benchmarks/prompts/j01-json-scene.md) ## 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. **Is FLUX 3 Image good at diagrams & data viz?** Diagrams & Data Viz is where FLUX 3 Image scores best against its own other categories, which is not the same as leading the field there. The per-category breakdown on this page shows where it is strong and weak, so use the category scores, not the blended overall, to judge it for a specific job. **How much does FLUX 3 Image cost per image?** FLUX 3 Image costs $0.048 per image at the endpoint and default parameters we benchmarked, shown in the stats above. Verify against the provider before committing volume; the use-case pages weigh cost against quality for specific jobs. **Can I use FLUX 3 Image output in production without editing?** Not reliably. Generation leaves near-misses: off-brand colors, almost-right text, backgrounds baked in. The IMG.LY AI Editor lets your users refine FLUX 3 Image's output to production quality with background removal, brand kits and editable text on a real canvas. **How does FLUX 3 Image compare to other models?** The model rankings place FLUX 3 Image against every other model on the same prompts, and the comparison pages put it head to head with a specific rival. Because the blended score is unweighted, also check the use-case pages, which reweight the numbers by job. **Which use cases is FLUX 3 Image best for?** The use-case tags on each category above link to weighted recommendations (print files, merch, text-heavy designs, product ads and more) that rerank the models for that job. A model that wins on price can lose on typography, so match FLUX 3 Image to the use case that matters to you. --- ## 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 - **[Build with a coding agent](https://img.ly/SKILL.md)** - A skill that adds a CE.SDK editor to an app: it interviews the user, picks a starter kit and builds it - **[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.