OpenAI o1 API in India

o1 is OpenAI's original o-series reasoning model, built to work through a problem internally — step by step — before writing a final answer, and it's available in India through unoblox on the same ₹-billed, OpenAI-compatible endpoint as the rest of the catalogue, with a GST tax invoice issued at each top-up replacing a foreign-currency bill.

How a reasoning model like o1 behaves differently

o1 spends part of its output budget on internal reasoning steps before it writes the answer you actually see. Two practical consequences follow: responses can take longer to come back than from a same-sized non-reasoning model, and the completion-token budget needs enough room for that internal reasoning plus the visible answer — too small a max_tokens and the response can be cut off before it reaches a conclusion. As a rule of thumb, give o1 requests at least 1000 completion tokens of headroom, more for genuinely multi-step problems.

₹ pricing for o1

o1 doesn't have a fixed indicative rate in this note — see the live price on its model page before committing a workload to it, since reasoning models can use more output tokens per answer than a standard chat model answering the same question. For rough scale, two non-reasoning flagships:

Model	Input (₹ / 1M tokens)	Output (₹ / 1M tokens)
GPT-5	126.53	1,012.28
GPT-4.1	202.46	809.82

Calling o1 from the unoblox endpoint

curl https://api.unoblox.ai/v1/chat/completions \
  -H "Authorization: Bearer ub-gw-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/o1",
    "messages": [{"role": "user", "content": "Work through this scheduling conflict step by step and propose a fix."}],
    "max_tokens": 1200
  }'

If a response comes back empty or truncated, raising max_tokens further is the first thing to try — it is the most common fix with reasoning-family models.

When o1 earns its extra latency and cost

• Multi-step problems where an early mistake ruins the final answer — debugging against a stack trace, working through a scheduling or logistics conflict, planning a sequence of dependent steps.
• Tasks worth paying for the reasoning time, rather than high-frequency calls where a mini or nano-class model would answer fast enough and cheaply enough.
• Not a fit for simple lookups or short-form replies — route that traffic to a smaller model and reserve o1 for the subset that genuinely needs deep, step-by-step reasoning.

Frequently asked questions

Is o1 available in India through unoblox? Yes, openai/o1 is callable on https://api.unoblox.ai/v1 right after signup, billed in rupees against your wallet balance.

What does o1 cost on unoblox? It isn't in our fixed indicative price list; check the live ₹ rate on its model page before estimating a workload's cost.

Why does my o1 request need a higher max_tokens value? o1 uses part of the completion-token budget for internal reasoning before writing the visible answer, so a low max_tokens can cut the response off. Set it to at least 1000 as a starting point.

Does o1 run on infrastructure located in India? No, it runs on OpenAI's infrastructure. The India-specific benefit from unoblox is ₹ billing, a GST invoice and one endpoint, not data residency.

Can I call o1 and a non-reasoning model like GPT-4.1 with the same key? Yes, the same ub-gw- key works across every model in the catalogue — only the model field changes.

Is GST input tax credit available on o1 usage? Yes, o1 usage is paid from the same rupee wallet as every other model, with a GST tax invoice issued at each top-up, and is claimable as input tax credit.

Get started in rupees → https://unoblox.ai/sign-in