AI Image Generation: See What Different Models Can Create

Every modern AI image model has a personality — its own bias toward photorealism, illustration, design, or sheer resolution. The fastest way to feel that difference is to push the same kind of prompt through several models and lay the outputs next to each other. That is what this comparison does, with four image generators that ship on Ropewalk in April 2026.

We picked four production-grade text-to-image models with distinct architectures and training goals: FLUX 2 Pro from Black Forest Labs, Recraft V4, GPT Image 2 from OpenAI, and Seedream 4 from ByteDance. Each ran one prompt aligned to its strength, and we logged generation time, native resolution, and the qualitative behaviour of the output. The pricing in each card below is live from the Ropewalk model API, so cost comparisons stay current as providers update their rates.

By Ropewalk Team. Tested on 2026-04-29 across 4 production text-to-image models on ropewalk.ai/chat.

The Quick Answer

For photorealism and cinematic lighting, choose FLUX 2 Pro. For art-directed design and watercolor-style illustration, choose Recraft V4. For prompt comprehension and complex character scenes, choose GPT Image 2. For native 2K resolution at the lowest latency in this group, choose Seedream 4.

The Models At A Glance

Before the head-to-head rounds, here is each model on its own card. The card pulls live cost and description directly from the model API, so the price you see reflects the current Ropewalk billing.

FLUX 2 Pro launched in 2025 and is Black Forest Labs' flagship text-to-image checkpoint, optimised for photoreal scenes at 1024×1024. Recraft V4 reached general availability in 2025 with a strong design-language bias and integrated text rendering. GPT Image 2 is OpenAI's 2026 image model, tuned for prompt comprehension and character composition. Seedream 4 is ByteDance's 2025 image generator that natively renders at 2048×2048 with sub-10-second latency in our test pass. All four are accessible from the same Ropewalk chat — switch the model in the picker, send the same prompt, and the cost is metered per generation by the model card above.

Round 1: Cyberpunk Cat in Tokyo — FLUX 2 Pro

Round 1 stress-tests photoreal lighting, wet-surface reflections, and subject placement in a busy nighttime scene. FLUX 2 Pro generated this 1024×1024 frame in 10.7 seconds on 2026-04-29. The neon spill on the alley pavement, the rim light on the cat's fur, and the depth-of-field falloff into the background read as cinematic-grade rather than illustrative — exactly the lane Black Forest Labs trained the model for. Prompt adherence is tight: the cat is centered, the alley is identifiable as Tokyo from the signage shapes, and the rain is treated as reflection rather than overlay.

Round 2: Watercolor Mountain Lake — Recraft V4

Round 2 targets non-photoreal rendering — the kind of brief a designer or illustrator would actually write. Recraft V4 produced this watercolor mountain lake in 13.9 seconds at 1024×1024 on 2026-04-29. The output reads as authentic watercolor rather than a photograph passed through a filter: pigment bleeds at edges, paper grain shows through the lighter washes, and the composition leads the eye from foreground reflections to the distant peaks. Recraft's training corpus leans heavily on graphic-design and illustration assets, which shows in the controlled palette and the absence of stray photoreal artefacts that other generators sometimes leak into stylised prompts.

Round 3: Robot Barista — GPT Image 2

Round 3 probes character design and warm-light interior storytelling. GPT Image 2 returned this robot barista in 12.6 seconds on 2026-04-29 with the Ropewalk default settings. The model's prompt comprehension is its standout trait: the robot's silhouette reads as a barista (apron-shaped chest plate, articulated arm at coffee-machine height) rather than a generic mech, and the steam vector reinforces the verb "making coffee" instead of decorating the scene. OpenAI's image stack consistently weighs scene grammar — who is doing what, with what, where — more heavily than texture realism, and that bias serves narrative or editorial briefs well.

Round 4: Abstract Geometric Art — Seedream 4

Round 4 pushes resolution and graphic clarity. Seedream 4 generated this abstract composition in 8.4 seconds at native 2048×2048 on 2026-04-29 — the fastest run in the test set despite producing 4× the pixel count of the FLUX, Recraft, and GPT Image rounds. ByteDance's training pipeline appears to optimise specifically for high-resolution graphic output: the gold-on-deep-blue geometry holds crisp edges with no upscale halos, and the negative space stays disciplined instead of drifting into busy detail. For poster art, large-format social, or any brief where you would otherwise upscale a 1024 image, Seedream 4 collapses two steps into one.

Side-By-Side: Speed, Resolution, And Best Lane

The numbers below come from the four runs above on 2026-04-29. Cost is omitted from the table because each model card already renders live pricing from the Ropewalk API — duplicating it in static markdown would go stale within weeks. Use this table to pick a model by latency and output size; use the cards above to pick by price.

Model	Latency (s)	Native Resolution	Best Lane
FLUX 2 Pro	10.7	1024×1024	Photoreal, cinematic lighting
Recraft V4	13.9	1024×1024	Design, illustration, watercolor
GPT Image 2	12.6	up to 1536×1536	Character scenes, prompt accuracy
Seedream 4	8.4	2048×2048	High-resolution graphic output

Across this set, Seedream 4 is the speed leader and the only model returning native 2K. FLUX 2 Pro is the photorealism leader at 1 megapixel. Recraft V4 is the slowest in this round but the only one that produced a convincingly hand-painted result. GPT Image 2 sits in the middle on speed and wins on prompt-to-scene accuracy when the brief reads like a short story instead of a description.

Try Any Of The Four On Ropewalk

All four models live behind the same chat picker on Ropewalk. Pick a prompt below to open a chat with that prompt and model preselected — the cost meter renders live from the model card above, so there are no surprise charges. See pricing for plan details.