Coding assistant
15M input + 5M output tokens / month
Daily IDE copilot
- Official (Claude Sonnet 4.6)
- $120.00/mo
- LumeAPI
- $72.00/mo
- Monthly savings
- $48.0040% off
Claude Sonnet API
Claude Sonnet 4.6 at ~40% below reference — balanced choice for coding, agents, and long-document workflows.
Model id: claude-sonnet-4-6. OpenAI SDK compatible.
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 | |
|---|---|---|---|---|
| Claude Sonnet 4.6claude-sonnet-4-6 | $3.00 / $15.00 | $1.80 / $9.00 | 40% off | Details → |
Illustrative totals for claude-sonnet-4-6 using catalog list prices — your actual bill depends on retries, tool loops, and output length.
15M input + 5M output tokens / month
Daily IDE copilot
60M input + 20M output tokens / month
Tool loops with Sonnet
Claude Sonnet API searches usually come from teams shipping coding assistants, support agents, or knowledge tools where Sonnet quality is the baseline but official list rates hurt margin.
Output-heavy workloads—long code patches, detailed summaries—should be modeled with output $/1M tokens, not input alone. Sonnet is often competitive with GPT Terra on coding repos but only your shadow traffic proves it.
Escalate to /claude-opus-api when Sonnet failure rates on hard tasks justify higher per-token spend.
Coding integrations should cap max_tokens intentionally—Sonnet can produce long patches that inflate output spend. Stream to the UI so users can cancel runaway generations.
For agents, cap tool-loop depth and log each hop’s model id. Sonnet multi-hop sessions are where “cheap Sonnet” becomes expensive without guardrails.
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="claude-sonnet-4-6",
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="claude-sonnet-4-6",
messages=[{"role": "user", "content": "Hello"}],
)Full step-by-step rollout, streaming checks, and FAQ: Claude cost 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.
Published per 1M in table and Usage logs.
model claude-sonnet-4-6 on LumeAPI base URL.
Opus for hardest tasks. Sonnet for most production.
Independent gateway.
Sonnet for refactor, review, and generation.
Default when Opus cost is unnecessary.
Extraction and summarization.
Predictable Sonnet pricing for per-seat features.
Common default. Compare with GPT Terra on your repos.
~40% below reference.
Test in staging.
Anthropic-native may not apply.
See /claude-api.
See /claude-opus-api.
Call claude-sonnet-4-6 through https://api.lumeapi.site/v1. Need help choosing a model? Browse the developer docs or contact support.