Coding agent
25M input + 10M output tokens / month
Sol for hard repos; Terra for daily traffic
- Official (GPT-5.6 Terra)
- $212.50/mo
- LumeAPI
- $106.25/mo
- Monthly savings
- $106.2550% off
GPT-5.6 API
GPT-5.6 Sol and Terra at ~50% below reference. Sol for complex reasoning; Terra for balanced production.
Model ids: gpt-5.6-sol and gpt-5.6-terra. OpenAI SDK compatible.
Official reference vs LumeAPI catalog rates. Pricing unit: per 1M input / output tokens. Last updated: July 2026. Source: provider list price.
Illustrative totals for gpt-5.6-terra using catalog list prices — your actual bill depends on retries, tool loops, and output length.
25M input + 10M output tokens / month
Sol for hard repos; Terra for daily traffic
15M input + 8M output tokens / month
Sol for multi-step analysis
Use Terra when you need flagship GPT quality on daily production traffic at lower list rates than Sol. Use Sol when tasks fail on Terra often enough that retries erase savings—architecture reviews, subtle bugs, and deep multi-step analysis are common examples.
Run A/B tests with the same client by swapping model id between gpt-5.6-sol and gpt-5.6-terra. Export Usage afterward to compare spend per merged pull request or per resolved support ticket.
Coding-specific guidance also lives on /coding-ai-api alongside Claude Sonnet comparisons.
Pin gpt-5.6-terra or gpt-5.6-sol in configuration per environment. Staging should mirror production prompts from the last seven days of Usage exports so regressions are realistic.
Log prompt hash, model id, latency, and token counts in your application. When finance asks why spend moved, you can show whether traffic shifted from Terra to Sol or output length grew.
LumeAPI is designed for developers who want to integrate without scheduling demos. Create an account, confirm your email, and open Console to generate an API key. Fund your USD wallet with USDT on supported chains when you are ready for billable traffic—there is no mandatory minimum beyond what your tests require.
Point your OpenAI-compatible client at https://api.lumeapi.site/v1, set Authorization to Bearer your key, and pass a catalog model id in the model field. Run a short curl or SDK script from /docs to verify latency, streaming, and error handling before you attach the key to production services.
Use Usage logs to reconcile per-call cost with finance forecasts. When a model tier is too expensive or quality is insufficient, change model id—not your entire integration. For cross-provider price tables and Research deep dives, follow internal links on this page rather than duplicating migration math here.
Every catalog model has a detail page under /models with official reference pricing, LumeAPI pricing, and links to /docs/models/{id} for parameters and curl examples. Start there when this commercial page points you to a model id you have not called before.
The /docs index lists gateway authentication, Chat Completions, image endpoints, and async video patterns. llms.txt bundles the same information for agent tooling—useful when you want a single URL to paste into Cursor or an internal bot.
Research articles explain why bills grow and how to compare providers; commercial pages like this one explain what LumeAPI offers and how to start. Follow internal links instead of searching for duplicate migration content across pages.
If billing, chain deposits, or integration behavior is unclear, use /contact for support channels. Include your model id, approximate request time, and whether the issue is authentication, balance, or model parameters—that speeds up resolution.
GPT, Claude, and Gemini catalog ids with published per-token or per-media rates — not obscure small models marketed as discounts.
Official reference vs LumeAPI columns on every commercial page. Your request model id matches Usage logs and billing.
One base URL for Chat Completions, image generations, and async video. Swap key, base URL, and model id — keep your SDK.
Top up with USDT, create keys in Console, and track per-call cost in Usage — no sales calls required.
Three values change: API key, base URL, model id. Everything else stays the same.
from openai import OpenAI
client = OpenAI(api_key="YOUR_OPENAI_API_KEY")
response = client.chat.completions.create(
model="gpt-5.6-sol",
messages=[{"role": "user", "content": "Hello"}],
)from openai import OpenAI
client = OpenAI(
api_key="YOUR_LUMEAPI_KEY",
base_url="https://api.lumeapi.site/v1",
)
response = client.chat.completions.create(
model="gpt-5.6-sol",
messages=[{"role": "user", "content": "Hello"}],
)Full step-by-step rollout, streaming checks, and FAQ: OpenAI migration guide →
API key, base URL (https://api.lumeapi.site/v1), and model id to a LumeAPI catalog entry. Message shape stays OpenAI-compatible for most apps.
Streaming, tool calling, JSON mode, and error handling on your heaviest models. Shadow 5–10% of traffic before full cutover.
Provider-native features (Anthropic Batch, Google Grounding, OpenAI Assistants) may require the official API. Test your exact payload.
Keep environment variables for base URL and model id. Switch back instantly if staging tests fail.
The model id in your request. No silent substitution.
Use scenario cards and Usage logs.
See /models and /docs/models.
No.
Sol for hard bugs. Terra for everyday completions.
Terra balances quality and price.
Sol for deep analysis chains.
Swap sol and terra by model id.
Sol for max depth. Terra for production balance.
~50% below reference per 1M tokens.
See /coding-ai-api.
See /ai-agent-api.
Yes — change base URL and model id.
See /gpt-api.
Create a key and set base_url to https://api.lumeapi.site/v1. Need help choosing a model? Browse the developer docs or contact support.