WLRouter
Models/GPT-5.6 Terra
Model Code
gpt-5.6-terra
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Model overview

BalancedReasoningVisionTools

GPT-5.6 Terra balances intelligence and cost for professional workloads. It supports text and image input, text output, reasoning, tool use, streaming, structured outputs, and both Responses and Chat Completions APIs.

Company: OpenAIProvider: OpenAI

Model capabilities

Input modalityT
Output modalityT
Model experience✓
Function calling✓
Structured output✓
Web search✓
Prefix completion-
Context cache✓
Batch inference✓
Fine-tuning×

Model pricing

Input$2.50/1M tokens
Input (cache hit)$0.25/1M tokens
Output$15/1M tokens
Input (over 272K context)$5/1M tokens
Output (over 272K context)$22.50/1M tokens

Tool call pricing

Web search Responses API$10/1K calls + model token charges
File search Responses APIUsage based

Rate limits and context

Maximum input length1.05M
Context length1.05M
Maximum output length128K
Knowledge cutoff2026-02-16
Supported endpointsResponses / Chat Completions / Batch

API reference

EndpointPOST /v1/chat/completions or POST /v1/responses
SDKOpenAI-compatible

API code examples

Get API Key
from openai import OpenAI

client = OpenAI(
    api_key="$WLROUTER_API_KEY",
    base_url="https://api.wlrouter.com/v1"
)

response = client.chat.completions.create(
    model="gpt-5.6-terra",
    messages=[
        {"role": "user", "content": "Reply with one short sentence."}
    ],
    max_tokens=32
)

print(response.choices[0].message.content)