Best Reasoning LLM API for India (₹ Pricing)

"Best reasoning LLM" doesn't have one universal answer — it depends on your task, your budget in rupees, and how you define reasoning quality for your own use case. What unoblox can offer instead of a marketing claim is an honest list of the reasoning-oriented and flagship models actually in the catalog, their ₹ pricing status, and a method for testing them yourself.

Models worth testing for reasoning-heavy tasks

These are the models most commonly reached for on multi-step, analytical, or planning-style tasks, available today through one unoblox key:

Model	Model id	₹ pricing
OpenAI o3	openai/o3	see live ₹ pricing
GPT-5	openai/gpt-5	₹126 / ₹1,008 per 1M tokens
DeepSeek V3.2	deepseek-ai/deepseek-v3.2	₹26.21 / ₹38.30 per 1M tokens
Qwen3 Max	qwen/qwen3-max	₹120.95 / ₹604.77 per 1M tokens
Claude Opus	anthropic/claude-opus-4-5	₹504 / ₹2,520 per 1M tokens

None of these is universally "best" — unoblox doesn't publish comparative benchmark scores, and you should be skeptical of any source that hands you a single number without showing its test set. The honest approach is to treat this table as a shortlist, not a leaderboard.

A practical way to evaluate them yourself

1. Build a small, representative prompt set from your actual use case — 10 to 20 real examples, not generic questions.
2. Run the same prompts through 2–3 candidates from the table above, using the same system instructions each time.
3. Score outputs against what your users actually need — correctness, completeness, tone — not against a public benchmark that may not reflect your domain.
4. Factor in ₹ cost per output token, since a marginally better answer at four times the cost may not be worth it for high-volume use.
5. Re-test periodically — providers update these models, and a ranking from a few months ago may no longer hold.

Cost is part of "best"

A reasoning model that's slightly better but five times the ₹ cost per token isn't automatically the right choice for a high-volume pipeline. DeepSeek V3.2, for instance, is priced well below GPT-5 and Claude Opus — worth including in your own test even if it isn't the first name that comes to mind for reasoning work.

Testing candidates under one key

curl https://api.unoblox.ai/v1/chat/completions \
  -H "Authorization: Bearer ub-gw-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/o3","messages":[{"role":"user","content":"Plan the steps to migrate this database safely."}]}'

Swap "model" between candidates without changing anything else in your integration.

Frequently asked questions

Which model is officially "best" for reasoning on unoblox? unoblox doesn't rank models by benchmark score — the models above are commonly used for reasoning-heavy tasks, but which performs best on your prompts is something you need to test directly.

Is the most expensive model always the best reasoning choice? Not necessarily. Price reflects each provider's own positioning, not a guarantee of better output for your specific task — test before assuming.

Can I compare these models without committing to a full integration? Yes — one ub-gw-… key and the same request shape let you sample any model in the table with a single curl call.

Does unoblox publish MMLU, AIME or similar benchmark scores? No. Treat any specific benchmark number you see elsewhere with caution and verify it against the primary source before relying on it.

Are these ₹ prices guaranteed not to change? No — treat them as indicative and check live ₹ pricing at https://unoblox.ai/models before budgeting a large production run.

What if my task is simple and doesn't need heavy reasoning? Consider a smaller, cheaper model like Qwen3 1.7B (free) or DeepSeek V4 Flash first — reasoning-focused models cost more and aren't always necessary.

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