altrouter.ai
Models/OpenAI/GPT-5.6 Pro
GP

OpenAI: GPT-5.6 Pro

Textgpt-5.6-pro

Flagship GPT-5.6 Pro for the hardest agentic and coding tasks.

API docs
Playgroundgpt-5.6-pro
Reasoning
Web search
Throughput150 tok/s
24hnow
Latency0.45 s
24hnow
Specifications
Authoropenai
ModalityText
Context400K tokens
Input$4.25/M tokens$5.00/M tokens
Output$25.50/M tokens$30.00/M tokens
Savings15%
Capabilitiesreasoning, tool calling, image input
Quick start
from openai import OpenAI

client = OpenAI(
    base_url="https://api.altrouter.ai/v1",
    api_key="ar-...",
)

resp = client.chat.completions.create(
    model="gpt-5.6-pro",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)

Same OpenAI-compatible endpoint — just swap base_url and key.

API

OpenAI-compatible chat completions endpoint, with SSE streaming.

POST/v1/chat/completions
Body parameters
modelstringrequired"gpt-5.6-pro"
The model id.
messagesarrayrequired
The conversation: [{ role, content }].
streambooleandefault false
Stream the response over SSE.
reasoning_effortenumlow · medium · high · xhighdefault low
Thinking budget for reasoning models.
web_searchbooleandefault false
Server-side web search — answers with live data.

Structured fields (tools, response_format, stop and more) are in the full parameter reference.

Response
idstring
Completion id.
choicesarray
Completions. Each: index, message { role, content, reasoning_content, tool_calls }, finish_reason.
usageobject
Tokens: prompt_tokens, completion_tokens, total_tokens.
Example
cURLPythonJSON
curl https://api.altrouter.ai/v1/chat/completions \
  -H "Authorization: Bearer ar-..." \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gpt-5.6-pro",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "reasoning_effort": "low"
}'
Errors
400Invalid request.
401Missing or invalid API key.
402Insufficient credits, or the key’s spending cap is exhausted.
404Model not found.
429Rate limit exceeded.
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