One API · Every top LLM
GPT-5.5, Claude Opus 4.7, and DeepSeek through one OpenAI-compatible endpoint. Prepaid USD credits, transparent list-vs-promo pricing.
Model store
Every card shows list price next to our promo price — no hidden markup, no opaque "credits". Switch between models by name; the SDK and base URL stay the same.
OpenAI's latest flagship (released April 2026). 1M-token context, strong reasoning, coding, and tool use.
Anthropic's top-tier model. Long-context reasoning, careful coding, agents, and 1M-token windows.
General chat, coding help, lightweight agent tasks, and API migration from OpenAI-style SDKs. Always list-price low.
How it works
The public website should sell and explain. The console should handle identity, credits, keys, and usage. That keeps the product path legible.
Recharge prepaid balance before production traffic.
Generate a token and keep it secret in your app environment.
Use the OpenAI SDK against api.modelbridgeapi.com/v1.
Why ModelBridge
Stop juggling provider accounts, billing portals, and SDKs. Switch between GPT, Claude, and DeepSeek by changing one string — keep your prepaid USD balance shared across all of them.
OpenAI-compatible /v1/chat/completions for every model. Switch GPT-5.5, Claude Opus 4.7, or DeepSeek by name — no SDK swap.
List price shown right next to ours. No hidden markup, no opaque "credit multipliers" — what you see is what you pay.
Per-request cost, tokens, latency, and route behavior tracked in the customer console — across every provider.
Top up once, use across every model. No subscription, no surprise bills, no provider-specific account dance.
Quickstart
Create a token in the console, set the hosted base URL, and call any model by name — gpt-5.5, claude-opus-4-7, or deepseek-chat.
from openai import OpenAI client = OpenAI( api_key="YOUR_MODELBRIDGE_API_KEY", base_url="https://api.modelbridgeapi.com/v1" ) response = client.chat.completions.create( model="gpt-5.5", # or "claude-opus-4-7" / "deepseek-chat" messages=[{"role": "user", "content": "Hello"}] ) print(response.choices[0].message.content)