Pull request review
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Anthropic Claude Opus 5.5: frontier model for agentic coding, long-horizon tasks and deep analysis. 1M context.
from$1.44/ 1M input tokens$1.610% off
Model IDclaude-opus-5.5
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 | $1.44 / 1M input tokens 144 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.
5 prompts
Review this diff for correctness and security. List blocking issues with file and line, then any non-blocking suggestions. <paste diff here>
Build a single-file Three.js page showing a small volcanic island with animated water, a day/night slider and orbit controls.
Here is a screenshot of our revenue dashboard. Describe the three most important trends and anything that looks like a data error.
Write a Python function that returns the longest palindromic substring of a string. Explain the approach briefly, then give the code with type hints.
Review this diff and list the blocking issues with file and line: <diff>
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": "claude-opus-5.5",
"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 | "claude-opus-5.5" |
| provider | string | No | Pin a provider; omit to auto-route to the cheapest. One of: replicate | wavespeed | kie | apimart | evolink | 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": "claude-opus-5.5",
"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 | claude-opus-5.5 |
| 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/claude-opus-5.5"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.
| Claude Opus 5.5 | Claude Sonnet 5.5 | GPT-6 Astra | GPT-6 Sol | |
|---|---|---|---|---|
| Vendor | Anthropic | Anthropic | OpenAI | OpenAI |
| Starting price | $1.44 / 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 | 6 providers | 7 providers | 7 providers |
Long-running agentic coding, knowledge work, reading charts and screenshots, and computer use. It is Anthropic's model for open-ended work that needs sustained judgment; Sonnet 5.5 covers everyday, high-volume work.
Up to 1M tokens of context and up to 128K output tokens. It accepts text and images and returns text, JSON and tool calls.
Adaptive thinking is always on and controlled by the effort setting (low to max). Thinking tokens count toward max_tokens and are billed as output, so lower effort for simple requests.
Yes. Function calling and streaming are supported; forcing a specific tool choice may be rejected by some providers.
Per 1M input and output tokens, settled from the provider's usage report. See the pricing table for each provider.
Other models you can call with the same API key.
Anthropic Claude Sonnet 5.5: fast, capable everyday model for coding, writing and agents. 1M 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.