gpt-5.6-sol API

gpt-5.6-sol is the long-context member of OpenAI's GPT-5.6 family, built around a 1,050,000-token context window and up to 128,000 output tokens per request. It is a reasoning model: before producing the final answer it spends internal reasoning tokens working through the problem, which makes it markedly stronger on multi-step analysis, planning, and code comprehension than same-generation non-reasoning models — at the cost of higher latency and output-token spend. If you need fast, cheap completions, a mini-class model is the better fit; sol earns its price when the task is genuinely hard or genuinely large. Pricing is segmented by prompt size. Up to 272K prompt tokens, CaMeL Hub bills $5.00 per 1M input tokens and $30.00 per 1M output tokens. Once a request's prompt exceeds 272K tokens, the entire request moves to the long-context tier — $10.00 per 1M input and $45.00 per 1M output. Because the whole request re-prices rather than just the overflow, it pays to keep routine calls under the 272K threshold and reserve the mega-context territory for jobs that truly need a single unified view, such as whole-repository analysis. Note the 6:1 output-to-input price ratio: on reasoning-heavy tasks, output tokens (including internal reasoning) usually dominate the bill, so a tight max_tokens budget and focused prompts matter more here than on most models. On CaMeL Hub, gpt-5.6-sol is served through the standard OpenAI-compatible chat completions endpoint with streaming supported, so existing OpenAI SDK code works after changing only the base_url and API key. One account and one key also cover the rest of the catalog — Claude, Gemini, DeepSeek and more — which makes A/B-ing sol against other frontier models a one-line model-name change. Top up by Alipay, WeChat Pay, or international cards, or use a subscription plan; usage is metered per token with itemized logs in the console.

curl https://api.camel-hub.com/v1/chat/completions \
  -H "Authorization: Bearer $CAMEL_HUB_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.6-sol",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="$CAMEL_HUB_KEY",
    base_url="https://api.camel-hub.com/v1",  # <-- the only change vs. the OpenAI default
)

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

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.CAMEL_HUB_KEY,
  baseURL: "https://api.camel-hub.com/v1", // <-- the only change vs. the OpenAI default
});

const resp = await client.chat.completions.create({
  model: "gpt-5.6-sol",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(resp.choices[0].message.content);