High-frequency routing
150M input + 30M output tokens / month
Mini and Flash for classification
- Official (GPT-5.4 mini)
- $247.50/mo
- LumeAPI
- $123.75/mo
- Monthly savings
- $123.7550% off
Low-cost LLM API
Lower costs without switching to unknown small models. GPT, Claude, and Gemini at 40–50% below common reference list rates.
Unlike /ai-api-pricing (full hub), this page curates cost-efficient mainstream models for high-frequency workloads.
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-5.4 minigpt-5.4-mini | $0.75 / $4.50 | $0.375 / $2.25 | 50% off | Details → |
| Gemini 3.5 Flashgemini-3.5-flash | $1.50 / $9.00 | $0.90 / $5.40 | 40% off | Details → |
| Gemini 3 Flashgemini-3-flash | $0.50 / $3.00 | $0.30 / $1.80 | 40% 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 → |
Illustrative totals for gpt-5.4-mini using catalog list prices — your actual bill depends on retries, tool loops, and output length.
150M input + 30M output tokens / month
Mini and Flash for classification
25M input + 8M output tokens / month
Sonnet or Terra when quality matters
Cheap LLM API searches often attract unknown small models with unclear quality. LumeAPI focuses on recognizable GPT, Claude, and Gemini families with published ids so you can audit Usage logs and run shadow tests on your prompts.
High-frequency workloads should start with gpt-5.4-mini or Gemini Flash, then escalate hard steps to Sonnet, Terra, or Pro. Measure error rate and cost per successful task—not hype about the largest model.
Compare this page to /ai-api-pricing: low-cost curates budget mainstream picks; pricing is the full cross-provider hub.
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-5.4-mini",
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-5.4-mini",
messages=[{"role": "user", "content": "Hello"}],
)Full step-by-step rollout, streaming checks, and FAQ: Lower-cost GPT 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.
No. GPT, Claude, and Gemini with published ids.
Shadow traffic and check Usage logs for exact model ids.
Batch may win async. LumeAPI targets lower real-time rates.
Per-token at published rates.
GPT-5.4 mini and Gemini Flash at low per-token cost.
Start with Flash or mini, upgrade when needed.
Cheap models filter before expensive reasoning steps.
Lower burn with recognizable model families.
Compare GPT-5.4 mini and Gemini Flash.
When error rate rises on complex tasks.
Pricing compares all. This curates budget mainstream picks.
Yes. Same key, different model ids.
No. Request model id is what runs and bills.
Shadow 5–10% traffic first.
Create a key and call catalog models through https://api.lumeapi.site/v1. Need help choosing a model? Browse the developer docs or contact support.