One integration.
A world of models.
A consistent API experience across providers. Bring your existing OpenAI SDK workflow and spend less time on integration.
Unified API for image, video, and text models
Connect once. Create across models. Keep building.
const response = await client.chat.completions.create({ model: "your-model", messages: [{ role: "user", content: "Build something great." }] });
From a single prompt to a whole new product.
Explore AI across every kind of creation.
Nano Banana 2.1 API for image creation and editing. Explore features, use cases, comparisons, and Runbridge.ai integration guidance. Check limits.
MiMo-V2.6-Pro-UltraSpeed is Xiaomi's low-latency serving version of MiMo-V2.6-Pro, designed for applications where the reasoning capability of the Pro model needs to be paired with substantially faster output generation.
GPT-6 Sol (gpt-6-sol) is an OpenAI GPT-6 reasoning model designed for complex coding, agentic workflows, and demanding knowledge work. OpenAI describes it as a model for complex coding and agentic workflows, with adaptive reasoning, long-context processing, image input, and access to a broad set of tools through the Responses API.
GPT-6 Luna (gpt-6-luna) is OpenAI's efficient GPT-6 model for focused, high-volume workloads. OpenAI positions Luna below GPT-6 Sol in the GPT-6 family, emphasizing efficiency, repeatability, and cost-sensitive production use.
MiMo-V2.6-Flash is Xiaomi's efficiency-focused model in the MiMo-V2.6 family. It is a native multimodal reasoning model designed for high-frequency calls, large-scale workloads, coding, automation, and long-horizon agent tasks.
An introduction to the model ecosystem. The RunBridge launch catalog and pricing will be confirmed separately.
Spend your energy on what makes your product different.
Keep the connection to AI simple.
A consistent API experience across providers. Bring your existing OpenAI SDK workflow and spend less time on integration.
Compare different model families for your use case. Keep your application flexible as the AI ecosystem evolves.
Bring model access into one place, with a simpler path from your first experiment to a production application.
A familiar request format. A unified connection.
Keep the SDK you know and make room for what's next.
Find the right fit for your workload.
Configure the endpoint in your existing SDK.
Keep building. Switch models as you grow.
from openai import OpenAI
client = OpenAI(
base_url="https://api.runbridge.ai/v1",
api_key="<RUNBRIDGE_API_KEY>",
)
response = client.chat.completions.create(
model="<RUNBRIDGE_MODEL>",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Integration preview. Set RUNBRIDGE_BASE_URL, RUNBRIDGE_API_KEY and RUNBRIDGE_MODEL to your provisioned account values when available.
Every model is billed by its actual unit — tokens for text, steps for images, or duration for video. Track usage in real time.