GPT-5 vs Claude Opus: ₹ Pricing Compared

GPT-5 and Claude Opus sit at opposite ends of the pricing table on unoblox, which makes this comparison less about which model is "better" in the abstract and more about which one fits your budget and task. Both are reachable from the same ₹-billed key, so the honest answer is usually: try both on your own prompts before committing.

Two different pricing philosophies

OpenAI prices GPT-5 as an accessible flagship — strong general capability at a moderate rate. Anthropic prices Claude Opus as a premium model, positioned for teams that want its particular reasoning and writing style and are willing to pay for it. Neither claim about "quality" should be taken from marketing copy — the only way to know which suits your use case is to run your own prompts through each and compare the outputs yourself.

₹ price comparison

Model	Model id	Input (₹ / 1M tokens)	Output (₹ / 1M tokens)
GPT-5	openai/gpt-5	₹126	₹1,008
Claude Opus	anthropic/claude-opus-4-5	₹504	₹2,520

At these rates, Claude Opus costs four times as much as GPT-5 on both input and output tokens. A rough worked example: 2 million output tokens a month costs about ₹2,016 on GPT-5 versus about ₹5,040 on Claude Opus. Multiply by your own real traffic to see whether the gap matters for your workload — for latency, exact context window and other live specs, check each model's own page rather than a fixed number here, since those details are updated independently of pricing.

When each one earns its price

• GPT-5 is the sensible default for high-volume applications, internal tools, and anything where token cost scales with usage and needs to stay predictable.
• Claude Opus fits lower-volume, high-stakes work — long-form writing, careful analysis, or tasks where you've found its output quality justifies the premium for your specific prompts.
• Anthropic and OpenAI also ship smaller, cheaper siblings in each family (Claude Sonnet, Claude Haiku, GPT-5 mini) — worth testing if neither flagship price fits; see live ₹ pricing at https://unoblox.ai/models for the full lineup.

One key, one invoice, either model

curl https://api.unoblox.ai/v1/chat/completions \
  -H "Authorization: Bearer ub-gw-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"model":"anthropic/claude-opus-4-5","messages":[{"role":"user","content":"Draft a two-paragraph client update."}]}'

Swap the model id to openai/gpt-5 and the rest of the request is unchanged — same endpoint, same key, same JSON shape, because unoblox speaks the OpenAI-compatible API for every provider it carries.

Frequently asked questions

Why is Claude Opus so much more expensive than GPT-5 on unoblox? unoblox passes through each provider's own pricing model in ₹, with a transparent retail markup — it doesn't set Anthropic's or OpenAI's base rates, so the gap reflects how each lab prices its flagship.

Can I use both models under one unoblox account? Yes. One ub-gw-… key and one monthly GST invoice cover every model in the catalog, including both of these.

Does Claude Opus run on infrastructure located in India? No. Claude Opus runs on Anthropic's own infrastructure. unoblox's India value for external models is ₹ billing, a GST invoice and a single endpoint — not data residency.

Is there a cheaper Claude option if Opus is too expensive? Yes — Claude Sonnet is priced lower per million tokens; check the models page at https://unoblox.ai/models for Sonnet, Haiku and other current Claude ids and their live rates.

How do I decide which model my application actually needs? Run a small representative sample of your real prompts through both, compare the outputs against what your users need, and let the ₹-per-output-token cost guide the final call once quality is comparable.

Is pricing here final, or does it change? Treat the figures above as indicative; always confirm the live rate on the model's own page before estimating a large production bill.

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