LumeAPIDaily IDE copilot
20M input + 8M output tokens / month
Sonnet or Terra with long completions
- Official (Claude Sonnet 4.6)
- $180.00/mo
- LumeAPI
- $108.00/mo
- Monthly savings
- $72.0040% off
Coding AI API
Coding AI API — GPT, Claude & Code Generation at Lower Cost
IDE copilots, coding agents, and code review on GPT Sol/Terra and Claude Sonnet/Opus at 40–50% below reference — evaluate on your repos, not hype.
Coding outputs are long — weight output $/1M heavily. Cheapest model is not always best cost per successful task.
- OpenAI-compatible
- Pay as you go
- One API key
- GPT, Claude & Gemini
Coding model pricing
Official reference vs LumeAPI catalog rates. Pricing unit: per 1M input / output tokens. Last updated: July 2026. Source: provider list price.
| Model | Official (in / out) | LumeAPI (in / out) | Savings | |
|---|---|---|---|---|
| GPT-5.6 Solgpt-5.6-sol | $5.00 / $30.00 | $2.50 / $15.00 | 50% off | Details → |
| GPT-5.6 Terragpt-5.6-terra | $2.50 / $15.00 | $1.25 / $7.50 | 50% off | Details → |
| Claude Sonnet 4.6claude-sonnet-4-6 | $3.00 / $15.00 | $1.80 / $9.00 | 40% off | Details → |
| Claude Opus 4.8claude-opus-4-8 | $5.00 / $25.00 | $3.00 / $15.00 | 40% off | Details → |
Monthly cost examples
Illustrative totals for claude-sonnet-4-6 using catalog list prices — your actual bill depends on retries, tool loops, and output length.
Hard refactor agent
40M input + 20M output tokens / month
Sol or Opus on complex repos
- Official (Claude Sonnet 4.6)
- $420.00/mo
- LumeAPI
- $252.00/mo
- Monthly savings
- $168.0040% off
Evaluate on your repositories
Coding AI API decisions should be grounded in your repos: languages, test harnesses, and typical diff sizes. Academic benchmarks help, but cost per merged suggestion on your code is the metric that matters.
GPT-5.6 Sol, GPT-5.6 Terra, Claude Sonnet 4.6, and Claude Opus 4.8 are all available through one LumeAPI key. IDE integrations that accept a custom OpenAI endpoint can point at https://api.lumeapi.site/v1.
Do not assume the most expensive model is best—measure pass rate and total tokens per accepted change.
Self-serve path: register to first API call
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.
Documentation, catalog, and support
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.
Why LumeAPI
Mainstream models only
GPT, Claude, and Gemini catalog ids with published per-token or per-media rates — not obscure small models marketed as discounts.
Transparent pricing
Official reference vs LumeAPI columns on every commercial page. Your request model id matches Usage logs and billing.
OpenAI-compatible gateway
One base URL for Chat Completions, image generations, and async video. Swap key, base URL, and model id — keep your SDK.
Self-serve wallet
Top up with USDT, create keys in Console, and track per-call cost in Usage — no sales calls required.
Get started in three steps
- Create an API key — register and open Console.
- Set the LumeAPI base URL — https://api.lumeapi.site/v1
- Choose a supported model id — from the table above or model catalog.
Migrate in minutes
Three values change: API key, base URL, model id. Everything else stays the same.
Before (official coding API)
from openai import OpenAI
client = OpenAI(api_key="YOUR_OPENAI_API_KEY")
response = client.chat.completions.create(
model="claude-sonnet-4-6",
messages=[{"role": "user", "content": "Hello"}],
)After (LumeAPI)
from openai import OpenAI
client = OpenAI(
api_key="YOUR_LUMEAPI_KEY",
base_url="https://api.lumeapi.site/v1",
)
response = client.chat.completions.create(
model="claude-sonnet-4-6",
messages=[{"role": "user", "content": "Hello"}],
)Full step-by-step rollout, streaming checks, and FAQ: Claude coding cost guide →
Migration & compatibility
What changes
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.
What to test
Streaming, tool calling, JSON mode, and error handling on your heaviest models. Shadow 5–10% of traffic before full cutover.
What may differ
Provider-native features (Anthropic Batch, Google Grounding, OpenAI Assistants) may require the official API. Test your exact payload.
Rollback
Keep environment variables for base URL and model id. Switch back instantly if staging tests fail.
Trust & billing
Best coding model?
Run shadow tests on your repositories. No universal winner.
Output token cost?
Coding generates long completions — compare output $/1M.
Cursor compatible?
Yes with custom OpenAI endpoint and catalog model ids.
Exact model ids?
gpt-5.6-sol, claude-sonnet-4-6, etc. in Usage logs.
Built for these workloads
IDE integrations
Cursor and OpenAI-compatible tools with LumeAPI base URL.
Coding agents
Multi-file agents — cost scales with output tokens.
PR review bots
Sonnet default. Opus for security-critical review.
Task success rate
Measure pass rate — sometimes Sonnet beats Opus on cost per merge.
Related guides
FAQ
GPT Sol vs Claude Sonnet for coding?
Shadow both on real PRs. Compare cost per accepted suggestion.
When Opus?
Hard architecture or subtle bugs where retries cost more than Opus tokens.
Code generation API?
Chat Completions with code-focused prompts and models above.
Streaming for IDE?
Yes — test in your editor integration.
Agents?
See /ai-agent-api.
GPT-5.6 details?
See /gpt-5-6-api.
Run your coding assistant on LumeAPI
Point your OpenAI-compatible IDE client at https://api.lumeapi.site/v1. Need help choosing a model? Browse the developer docs or contact support.