Google's flagship reasoning model.
Per 1M tokens
$0.25
Latency
0.6s
Context
1.05M
Connect your agent programs to 28 models from 9 providers. One API key. Choose the model for each task.
Your agent
28
models
9
providers
1
API connection
Compare reasoning, speed, context, and cost. Pick what fits the task.
Google's flagship reasoning model.
Per 1M tokens
$0.25
Latency
0.6s
Context
1.05M
OpenAI's most capable model for the most demanding work.
Per 1M tokens
$0.15
Latency
3.3s
Context
1.05M
Near-Astra performance at a lower cost.
Per 1M tokens
$0.15
Latency
0.7s
Context
1.05M
Moonshot's 2.8T-parameter open-source flagship.
Per 1M tokens
$0.05
Latency
0.7s
Context
1M
Latest GLM release.
Per 1M tokens
$0.05
Latency
1.7s
Context
Unknown
DeepSeek's flagship reasoning model.
Per 1M tokens
$0.05
Latency
1.5s
Context
1M
Cheapest model in the catalog.
Per 1M tokens
$0.02
Latency
1.6s
Context
1M
Anthropic's flagship for agentic coding.
Per 1M tokens
$0.50
Latency
0.6s
Context
1M
A shared model layer for your applications, tools, and agents.
Use a fast model for everyday work and a reasoning model for the difficult parts. Your agent keeps the same API connection.
Give your agent access to the model catalog through one REST API. Authenticate with a workspace key and send your requests.
Review token usage, latency, and spending in one place. Set limits on keys by model, budget, or environment.
Receive output as it is generated through server-sent events. The same connection supports conversation and tool calls.
Try the same task with different models. Compare the result and the cost before deciding what runs in your agent.
Access OpenAI, Google, Anthropic, Moonshot, GLM, DeepSeek, xAI, Meta, and Qwen without maintaining a separate integration for each provider.
Try a prompt, switch models, and compare the response. Find the right model before connecting it to your agent program.
Think of a vector database as a filing cabinet organized by meaning instead of file name. Hand it a messy idea and it returns the closest ideas...
OpenAPI proxies requests to model providers through one API at api.openapi.shop/v1. Your agent program chooses a model for each request, and OpenAPI handles the provider connection.
Yes. The API accepts Chat Completions requests and uses bearer-token authentication. Create a workspace key, configure your agent's API connection, and select a model ID from the catalog.
The catalog includes 28 models from OpenAI, Google, Anthropic, Moonshot, GLM, DeepSeek, xAI, Meta, and Qwen. The models page lists model IDs, context windows, and available rates.
Yes. Set stream to true for server-sent events. The API also accepts tool definitions, image inputs, and structured output as described in the documentation.
Request and response bodies are not retained by default. Billing and abuse-prevention metadata is retained for 30 days. Providers process requests under their own policies; zero-retention routing is available on paid plans.
Create a key and connect to the model catalog.