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8M input + 2M output tokens / month
Moderate volume — compare GPT mini vs Flash
- Official (Claude Sonnet 4.6)
- $54.00/mo
- LumeAPI
- $32.40/mo
- Monthly savings
- $21.6040% off
LLM API pricing 2026
Compare flagship GPT, Claude, and Gemini token rates side by side — official reference pricing vs LumeAPI catalog on the same OpenAI-compatible gateway.
Use this page to pick models by cost per task, then open each model page for integration docs or a provider-specific migration guide.
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 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 → |
| Gemini 3.1 Progemini-3.1-pro-preview | $2.00 / $12.00 | $1.20 / $7.20 | 40% off | Details → |
| Gemini 3.5 Flashgemini-3.5-flash | $1.50 / $9.00 | $0.90 / $5.40 | 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.
8M input + 2M output tokens / month
Moderate volume — compare GPT mini vs Flash
50M input + 6M output tokens / month
Input-heavy — Gemini Pro vs Sonnet input rates
Three values change: API key, base URL, model id. Everything else stays the same.
# Multiple provider SDKs — separate keys and clients # OpenAI, Anthropic, Google each with their own SDK and billing
from openai import OpenAI
client = OpenAI(api_key="YOUR_LUMEAPI_KEY", base_url="https://api.lumeapi.site/v1")
# Same client — swap model id to compare providers
for model in ("gpt-5.6-terra", "claude-sonnet-4-6", "gemini-3.5-flash"):
r = client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": "Reply with your model name only."}],
)
print(model, r.choices[0].message.content)Full step-by-step rollout, streaming checks, and FAQ: LLM API Pricing Comparison 2026 — deep dive →
LumeAPI catalog syncs from backend/catalog.py with pricing_updated and pricing_source shown on model pages. Official column is reference list price for comparison.
Text models bill input and output separately. The table shows both per 1M tokens — multiply by your expected mix for monthly estimates.
This table focuses on flagship text models. Browse /models filtered by kind for image per-image and video per-second rates.
Check Last updated on model pages after catalog changes. Re-run cost models when you see a new pricing_updated date.
Model monthly spend at your token mix before choosing Sonnet, GPT Terra, or Gemini Pro. Input-heavy RAG should weight input $/1M first.
Route cheap classification to Flash or mini tiers, escalate hard tasks to Pro or Opus. One gateway simplifies A/B tests.
Export official vs LumeAPI columns when evaluating build vs buy. Published catalog rates update with pricing_updated metadata.
Agents multiply tokens per user request. Lower per-hop rates directly reduce cost-per-completed-task — measure both, not just per-call.
Compare GPT mini and Gemini Flash rows for your output ratio. Flash often wins on input-heavy routing; validate quality on your prompts.
Compare output $/1M — coding assistants generate long completions. Open both model pages and run a shadow traffic test on real repos.
We meter catalog ids in Usage logs. Your request model id is what appears in billing — no hidden route remapping.
Public catalog rates apply to wallet billing. Contact support for volume or enterprise discussions.
Use the cost scenario cards below with your token millions, or export Usage logs after a staging week on LumeAPI.
See /cheap-openai-api, /cheap-claude-api, /cheap-gemini-api, and /openrouter-alternative for migration code and FAQs.
Create a key and call any row in the table through https://api.lumeapi.site/v1. Need help choosing a model? Browse the developer docs or contact support.