Migration plan risk review
EngineeringHere is our database migration plan. Identify the single riskiest step, explain why, and suggest a safer sequence. <paste plan here>
OpenAI GPT-5.6 Sol: flagship GPT-5.6 tier for complex reasoning and coding.
from$1.26/ 1M input tokens$1.410% off
Model IDgpt-5.6-sol
Input
Text
Output
Chat
Provider
8 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 | $1.26 / 1M input tokens 126 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
Here is our database migration plan. Identify the single riskiest step, explain why, and suggest a safer sequence. <paste plan here>
Explain in one paragraph why this function leaks memory when called in a loop, then show the corrected version. <paste code here>
Read the attached 200-page annual report and list the five findings an investor should care about most, with page references.
Explain this bug in one paragraph.
Are you AGI?
Summarize the content without using lists, Markdown, or exceeding 80 words.
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": "gpt-5.6-sol",
"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 | "gpt-5.6-sol" |
| provider | string | No | Pin a provider; omit to auto-route to the cheapest. One of: replicate | 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": "gpt-5.6-sol",
"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 | gpt-5.6-sol |
| 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/gpt-5.6-sol"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.
| GPT-5.6 Sol | GPT-6 Astra | GPT-6 Sol | GPT-6 Luna | |
|---|---|---|---|---|
| Vendor | OpenAI | OpenAI | OpenAI | OpenAI |
| Starting price | $1.26 / 1M input tokens | $2.52 / 1M input tokens | $0.54 / 1M input tokens | $0.027 / 1M input tokens |
| Input | Text | Text | Text | Text |
| Provider | 8 providers | 7 providers | 7 providers | 8 providers |
Sol is the strongest GPT-5.6 tier, best for agentic coding, research, long-context analysis and work where quality beats cost. Terra is the everyday default and Luna the cheapest high-volume tier.
About 1.05M tokens of context and up to 128K output tokens. It accepts text and images (PNG, JPEG, WebP, GIF) and returns text.
reasoning_effort can be none, low, medium, high or xhigh. Higher levels may need a larger max_tokens, otherwise the visible answer can come back empty.
Yes, function calling, structured JSON output and streaming are supported on our OpenAI-compatible endpoint.
Per 1M input and output tokens from the provider's usage. Prompts above roughly 272K tokens are charged at the upstream long-context rate. See the pricing table.
Other models you can call with the same API key.
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 Terra: mid GPT-5.6 tier balancing quality and cost.
OpenAI GPT-5.6 Luna: small, fast GPT-5.6 tier.
Anthropic Claude Opus 5.5: frontier model for agentic coding, long-horizon tasks and deep analysis. 1M context.