Model-katalog

500+ AI-modeller
i én API

Få adgang til de nyeste LLM'er, billedgenerering og videomodeller fra alle førende AI-udbydere gennem et enkelt samlet endpoint.

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Nyeste versionerOpenAI-kompatibel15 modeller
15 modeller
G
Billede

Nano Banana 2.1

Google

Nano Banana 2.1 API for image creation and editing. Explore features, use cases, comparisons, and Runbridge.ai integration guidance. Check limits.

Se modelFra 1.5/1M
X
Billede

Grok-Imagine-Image-2.0

xAI

Grok Imagine Image 2.0, its upgraded AI image generation and editing model

Se modelFra 0.04/req
O
Billede

GPT Image 2

OpenAI

GPT Image 2 is openai state-of-the-art image generation model for fast, high-quality image generation and editing. It supports flexible image sizes and high-fidelity image inputs.

Se modelFra 5/1M
R
Billede

Gen4-image

Runway

Udforsk mulighederne med gen4_image via RunBridge Unified API.

Se modelFra 0.01/req
R
Billede

Gen4-image-turbo

Runway

Udforsk mulighederne med gen4_image_turbo via RunBridge Unified API.

Se modelFra 0.02/req
O
Billede

GPT Image 2.5(sunburst)

OpenAI

Udforsk mulighederne med gpt-image-2.5-sunburst via RunBridge Unified API.

Se modelFra 5/1M
O
Billede

GPT Image 2.5 Flare

OpenAI

Udforsk mulighederne med gpt-image-2.5-flare via RunBridge Unified API.

Se modelFra 5/1M
F
Billede

FLUX 2 MAX

Flux

FLUX.2 [max] is a top-tier visual-intelligence model from Black Forest Labs (BFL) designed for production workflows: marketing, product photography, e-commerce, creative pipelines, and any application that requires consistent character/product identity, accurate text rendering, and photoreal detail at multi-megapixel resolutions. The architecture is engineered for strong prompt-following, multi-reference fusion (up to ten input images), and grounded generation (ability to incorporate up-to-date web context when producing images).

Se modelFra 0.01/req
G
Billede

Nano Banana Pro

Google

Nano Banana Pro is an AI model for general-purpose assistance in text-centric workflows. It is suitable for instruction-style prompting to generate, transform, and analyze content with controllable structure. Typical uses include chat assistants, document summarization, knowledge QA, and workflow automation. Public technical details are limited; integration aligns with common AI assistant patterns such as structured outputs, retrieval-augmented prompts, and tool or function calling.

Se modelFra 2/1M
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