Customer support bot
12M input + 3M output tokens / month
Multi-turn with moderate history
- Official (Gemini 3.5 Flash)
- $45.00/mo
- LumeAPI
- $27.00/mo
- Monthly savings
- $18.0040% off
Chatbot API
Power chatbots and AI SaaS with GPT, Claude, and Gemini at lower list rates — streaming, conversation history, and predictable per-token billing.
Conversation history resends every turn — lower input rates matter as sessions grow.
Official reference vs LumeAPI catalog rates. Pricing unit: per 1M input / output tokens. Last updated: July 2026. Source: provider list price.
Illustrative totals for gemini-3.5-flash using catalog list prices — your actual bill depends on retries, tool loops, and output length.
12M input + 3M output tokens / month
Multi-turn with moderate history
80M input + 20M output tokens / month
Flash or mini for scale
Multi-turn chat APIs resend conversation history as input tokens every turn. A session that reaches 30k tokens of context makes input pricing as important as output pricing.
Streaming improves perceived latency for user-facing bots. Test stream reconnection in your web client before launch.
Tier support bots with mini or Flash for triage and Sonnet or Terra for escalations—same integration, different model ids.
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="gemini-3.5-flash",
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="gemini-3.5-flash",
messages=[{"role": "user", "content": "Hello"}],
)Full step-by-step rollout, streaming checks, and FAQ: LLM pricing comparison →
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.
Test on your region and model tier in staging.
Every prior message counts as input tokens — model monthly cost.
Flash and mini tiers for high concurrency.
Per-call Usage logs with input/output breakdown.
Lower input rates reduce history cost each turn.
stream: true on supported models for responsive UI.
Predictable margin with published catalog rates.
Mini or Flash for tier-1, Sonnet for escalation.
Compare Flash and GPT mini for your output ratio.
Yes on catalog text models with stream: true.
Test quality on your prompts. Compare input $/1M for long sessions.
You manage history in messages array — tokens bill each request.
See /production-llm-api.
See /ai-api-pricing.
Stream chat completions through https://api.lumeapi.site/v1. Need help choosing a model? Browse the developer docs or contact support.