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20-model comparison · Verified 11 July 2026

Choose the right AI image model for the job.

Compare GPT Image, Nano Banana, Seedream, Krea, Recraft, Kling, FLUX, Runway and Wan by workflow rather than brand popularity. The best model depends on the prompt, references and output you need.

Generate imagesCompare models
20models comparedCurrent OpenSpeaker inventory
9provider familiesOne selection interface
14maximum referencesOn supported Google models
10Kprompt charactersOn supported models
OpenSpeaker image generation workspace with Nano Banana 2, a reference-image slot, aspect ratio, and resolution controls
Actual OpenSpeaker product UI: select a model, add a reference image, and set aspect ratio and resolution before generating.

Product-verified inventory

Compare AI image model families

FamilyModelsBest forControlsResolution
OpenAIGPT Image 2 · GPT Image 1.5 · GPT Image 1Prompt following, text rendering and image editingQuality, aspect ratio, up to 5 reference imagesUp to 4K
GoogleNano Banana 2 Lite · Pro · 2 · Nano BananaGeneral creation and multi-image editingWide aspect ratios, up to 14 reference imagesUp to 4K
ByteDanceSeedream 5 Pro · 5 Lite · 4.5 · 4High-resolution creation and reference workflowsAspect ratio, reference images, negative prompt on supported modelsUp to 4K
KreaKrea 2 Medium · Krea 2 LargeCreative exploration with adjustable variationCreativity level, aspect ratio, up to 10 assetsModel dependent
RecraftRecraft 4.1Design-oriented generation across many layouts14 aspect ratios and 1K/2K outputUp to 2K
KlingKling O1 ImageCreation and reference-image workflowsNine aspect ratios and up to 10 assetsUp to 2K
Black Forest LabsFLUX.2 Pro · FLUX.1 Kontext ProDetailed generation and contextual editsReference image support; prompt enhancement on KontextUp to 2K
RunwayGen-4 Image · Gen-4 Image TurboReference-led visual iterationUp to 3 reference assets; Turbo requires a referenceUp to 1080p
WanWan 2.5 ImagePrompted creation with negative-prompt controlFive aspect ratios and up to 2 assetsModel dependent

Selection method

Match the model to the constraint that matters most

For typography and detailed instructions, start with a model known for prompt following and verify the exact output. For product or character consistency, prioritize reference-image support and asset count. For final delivery, check resolution and aspect-ratio options before generation.

The comparison below reflects controls exposed by OpenSpeaker, not a universal quality ranking. Model behavior changes with prompts and updates, so a small side-by-side test remains the most reliable choice.

Practical benchmark

Run the same brief before committing to a model

Create one shared prompt, use the same references and request equivalent aspect ratios across two or three candidates. Compare composition, text accuracy, subject fidelity and artifact rate.

Record the model, settings and credit estimate with the chosen output. This makes future image work repeatable and helps you decide when a premium configuration is justified.

Verification scope

This comparison describes the controls and inventory exposed by OpenSpeaker on 11 July 2026. It is not an independent benchmark or a guarantee of model quality.

Frequently asked questions

What to know before generating images

Which OpenSpeaker image model is best?

There is no single best model. GPT Image is a strong starting point for instruction following, Nano Banana for multi-image editing, Seedream for high-resolution workflows, and FLUX or Runway for reference-led iteration.

Which models support 4K output?

Selected GPT Image 2, Nano Banana and Seedream configurations expose up to 4K output.

Which model accepts the most reference images?

Supported Nano Banana configurations accept up to 14 reference assets in the current OpenSpeaker workflow.

Are preview models stable?

Preview models can change or be removed. Check the live model selector before building a production dependency.

Does the comparison rank image quality?

No. It compares exposed controls and intended workflows. Quality should be tested with the same prompt and references.

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