AI costs shouldn’t be a black box.
Common Adi is 20%+ cheaper, with transparent billing + public logs, and no lock-in / no hidden fees.
Predictable spend. Faster shipping.
GPT-6 Astra is live on CometAPI.
Swap your OpenAI base URL, plug in the key, and you’re ready for heavy reasoning and computer-use workflows.
Full quickstart in 60s:
GPT-6 Astra is now live on CometAPI.
74.1% on DeepSWE v1.1, vs. 67.4% for Claude Fable 5.1.
1.05M context. OpenAI-compatible API.
20% below official API pricing.
Built for harder coding and agentic workflows.
Try GPT-6 Astra ↓
cometapi.com
Fable 5.1 cache reads are 75% cheaper: $1 → $0.25/MTok.
But your total workload isn’t 75% cheaper.
Count writes, fresh input, output, misses, tools and retries.
What matters: cost per completed task.
da.gd/yMTAJ
GPT-6 Astra may look expensive per token.
But the real question is: how much does a successful task actually cost?
Look at real workflows, retries, latency, and total cost instead of just benchmark scores.
cometapi.com/models/openai/…
