AI Models
Gemini 2.5 Flash
Google's fast and efficient model. Great at summarization, translation, and quick reasoning with a 1M token context window.
POST
$0.01/call/v1/ai/chatOverview
Google's fast and efficient model. Great at summarization, translation, and quick reasoning with a massive 1M token context window.
| Property | Value |
|---|---|
| Model ID | google/gemini-2.5-flash |
| Context Window | 1,000,000 tokens |
| Max Output | 8,192 tokens |
| Input Price | $0.15 / 1M tokens |
| Output Price | $0.60 / 1M tokens |
Usage
const res = await fetch('https://api.yepapi.com/v1/ai/chat', {
method: 'POST',
headers: {
'x-api-key': 'YOUR_API_KEY',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'google/gemini-2.5-flash',
messages: [{ role: 'user', content: 'Summarize the key differences between REST and GraphQL in 3 bullet points.' }],
}),
});
const { data } = await res.json();
console.log(data.message.content);curl -X POST https://api.yepapi.com/v1/ai/chat \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "google/gemini-2.5-flash", "messages": [{"role": "user", "content": "Summarize the key differences between REST and GraphQL in 3 bullet points."}]}'Request Body
| Parameter | Type | Required | Description | Default |
|---|---|---|---|---|
model | string | Yes | Model ID (e.g. google/gemini-2.5-flash) | — |
messages | Message[] | Yes | Array of { role, content } objects | — |
maxTokens | number | No | Maximum tokens in the response | Model default |
temperature | number | No | Sampling temperature (0.0–2.0) | 1.0 |
topP | number | No | Nucleus sampling threshold | 1.0 |
frequencyPenalty | number | No | Penalize repeated tokens | 0 |
presencePenalty | number | No | Penalize tokens already present | 0 |
stream | boolean | No | Enable SSE streaming | false |
Info
All AI models use the /v1/ai/chat endpoint. Specify the model with the model field.
Response
{
"ok": true,
"data": {
"model": "google/gemini-2.5-flash",
"message": {
"role": "assistant",
"content": "- REST uses fixed endpoints per resource; GraphQL uses a single endpoint with flexible queries\n- REST can over-fetch or under-fetch data; GraphQL returns exactly what you request\n- REST is simpler to cache (HTTP caching); GraphQL requires custom caching strategies"
},
"usage": {
"promptTokens": 20,
"completionTokens": 58,
"totalTokens": 78
}
}
}Streaming
Set "stream": true to receive Server-Sent Events. Each chunk contains a delta object:
data: {"delta":{"content":"- REST"},"model":"google/gemini-2.5-flash","index":0}
data: [DONE]Under the Hood
We handle auth, billing, and response normalization — you just send messages.