Searches for "how to get Claude Opus 4.7 API access" keep climbing — and for good reason. Opus 4.7 remains the reference model for multi-hour autonomous coding runs and the only mainstream model with 128K-token single-pass outputs. It is also the most expensive mainstream API by a wide margin.
| Workload | Needs Opus 4.7? | Cheaper workhorse |
|---|---|---|
| Multi-hour agent coding runs | Yes — still the best | — |
| 128K+ single-pass generation | Yes | — |
| Everyday code completion/review | No | Kimi K2.7-Code ($0.67/$3.40 per 1M) |
| RAG answering, extraction | No | DeepSeek V4 Flash ($0.08/$0.17) |
| Reasoning-heavy planning | Mostly no | DeepSeek V4 Pro ($0.57/$1.15) |
| Long-context repo analysis | No | DeepSeek V4 Pro — 2M context |
from openai import OpenAI
client = OpenAI(base_url="https://aiapi-pro.com/v1", api_key="YOUR_NOVAI_KEY")
def route(task):
if task.kind in ("long-agent", "massive-output"):
return call_frontier_directly(task) # Opus 4.7 via Anthropic
if task.kind == "code":
return client.chat.completions.create(
model="kimi-k2.7-code", messages=task.messages)
return client.chat.completions.create(
model="deepseek-v4-pro", messages=task.messages)
Because NovAI is OpenAI-compatible, adding the cheap tier is a one-line base_url change — your OpenAI SDK code, evals and logging all keep working.
Keep Opus 4.7 where it provably wins (long agent runs, giant outputs). Move the rest to DeepSeek V4 / Kimi K2.7-Code and your blended cost drops 70–90% with no user-visible quality change.
NovAI gives you OpenAI-compatible access to DeepSeek, Qwen, GLM, Kimi, Doubao and more — prepaid balance, no subscription, zero platform fee. Free trial credit on signup.
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