Review sentiment as JSON
ClassificationClassify the sentiment of each review below as positive, neutral or negative and return a JSON array with the review index and label. <paste reviews here>
Google Gemini 3.8 Flash: fast, low-cost multimodal model with a 1M-token context.
from$0.203/ 1M input tokens$0.22510% off
Model IDgemini-3.8-flash
Input
Text
Output
Chat
Provider
7 providers
Last 7 days · not enough recent requests for stats yet.
Prices are per unit; requests without a provider are routed to the cheapest provider that supports your parameters.
| Option | Price (USD) |
|---|---|
| All options | $1.012 / 1M output tokens 102 Credits |
Test output quality, compare provider prices and estimate cost before writing any code.
Credits for max_tokens are held first, then settled to the actual usage.
Start a conversation. Replies stream in and are billed by actual token usage.
Ready-to-use prompts. Load one into the playground and tweak it.
21 prompts
Classify the sentiment of each review below as positive, neutral or negative and return a JSON array with the review index and label. <paste reviews here>
Describe what this chart shows, the overall trend, and the month with the largest change.
Refactor this JavaScript module into TypeScript with explicit types and no behaviour changes. <paste code here>
Classify the sentiment of each review below and return a JSON array: <reviews>
Please describe the content of this image/video/audio
what is difference between http and https
Endpoints, request fields and runnable examples for this model.
Base URL
https://01router.com/api/v1Set API_KEY to your project key, then run a sample from your server. Replace example media URLs with your own public URLs.
Auto-routing chooses a provider that supports the request. Select a provider to see its input constraints and pinned request examples.
curl https://01router.com/api/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.8-flash",
"messages": [{ "role": "user", "content": "Hello!" }],
"stream": false
}'Only endpoints relevant to this model are listed. Paths below include /api/v1. Click an endpoint to read its usage.
Send your API key as a Bearer token. Requests are billed to the key owner's credits.
Authorization: Bearer YOUR_API_KEY
Content-Type: application/jsonSend messages directly in the request body. Chat requests do not use an input wrapper.
| Name | Type | Required | Description |
|---|---|---|---|
| model | string | Yes | "gemini-3.8-flash" |
| provider | string | No | Pin a provider; omit to auto-route to the cheapest. One of: wavespeed | kie | apimart | evolink | atlascloud | vercel | openrouter |
| messages | object[] | Yes | OpenAI-format messages, each with role and content. |
| stream | boolean | No | true returns an SSE stream. |
| max_tokens | integer | No | Output token cap; credits are pre-held for it (default 4096). |
This example uses stream: false. Read the reply from choices[0].message.content. With stream: true, read SSE chunks from choices[].delta until [DONE].
{
"id": "chatcmpl-example",
"object": "chat.completion",
"model": "gemini-3.8-flash",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello! How can I help?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 9,
"completion_tokens": 8,
"total_tokens": 17
}
}| Name | Type | Required | Description |
|---|---|---|---|
| id | string | Yes | Chat completion ID |
| object | string | Yes | chat.completion |
| model | string | Yes | gemini-3.8-flash |
| choices | object[] | Yes | Reply choices; message.content contains the non-streaming response. |
| usage | object | No | Token usage: prompt_tokens, completion_tokens and total_tokens. Availability depends on the provider. |
This public endpoint returns the model parameters and each provider’s supported constraints and prices.
curl "https://01router.com/api/v1/models/gemini-3.8-flash"Check the HTTP status and error.message. Fix the request before retrying validation or authentication errors. A failed generation is reported in status and error on the task itself.
{
"error": {
"message": "Invalid or missing API key",
"code": "unauthorized"
}
}400Invalid body or parameter value
401Missing or invalid API key
402Not enough credits
404Unknown model or generation
429Too many requests — retry after the given seconds
502Every provider rejected the task (credits refunded)
Give your coding assistant this model reference: endpoints, input constraints, output fields and request examples in plain text.
Specs and starting prices side by side. Test with the same prompt before you choose.
| Gemini 3.8 Flash | Gemini 4 Argon | GPT-6 Astra | GPT-6 Sol | |
|---|---|---|---|---|
| Vendor | OpenAI | OpenAI | ||
| Starting price | $0.203 / 1M input tokens | $0.72 / 1M input tokens | $2.52 / 1M input tokens | $0.54 / 1M input tokens |
| Input | Text | Text | Text | Text |
| Provider | 7 providers | 7 providers | 7 providers | 7 providers |
It is Google's Flash-tier workhorse for coding, agents and knowledge work: more accurate than 3.7 Flash, at a much lower price than Pro-class models.
About 1,048,576 tokens of context and up to about 65K output tokens. It accepts text, images, video, audio and PDF and returns text.
low, medium (default) and high. The older minimal level is not supported.
It can use more tokens per task than older Flash models, so compare total cost per task on your own prompts rather than the per-token price alone.
Per 1M input and output tokens, with thinking billed as output. Prices may change after Google's introductory period; see the pricing table.
Other models you can call with the same API key.
Google Gemini 4 Argon: multimodal reasoning model with a 1M-token context.
OpenAI GPT-6 Astra: the most capable GPT-6 tier for hard reasoning, coding and agents. 1.05M context.
OpenAI GPT-6 Sol: balanced GPT-6 tier for everyday reasoning, coding and tool use. 1.05M context.
OpenAI GPT-6 Luna: the fastest, lowest-cost GPT-6 tier for high-volume tasks. 1.05M context.
OpenAI GPT-5.6 Sol: flagship GPT-5.6 tier for complex reasoning and coding.
OpenAI GPT-5.6 Terra: mid GPT-5.6 tier balancing quality and cost.