DeepSeek V3.2 API in India

DeepSeek V3.2 is the reasoning-first model in the DeepSeek family — built for problems that need many steps of thinking, not quick replies. On unoblox it sits behind the same OpenAI-compatible endpoint as every other model, billed at ₹26.32 per million input tokens and ₹38.47 per million output tokens with a GST tax invoice issued at each top-up.

When to reach for V3.2

V3.2 is deliberately slower and pricier than the Flash tier because it spends more tokens thinking through a problem. Reach for it when the task actually needs that: theorem-style proofs, multi-step debugging, scientific derivations, or reasoning across a long document where a shallow answer isn't good enough. For everyday chat, summarization, or classification, DeepSeek V4 Flash is the better — and cheaper — fit.

V3.2 pricing versus the rest of the catalog

Model	Input (₹/1M)	Output (₹/1M)	Best for
DeepSeek V3.2	₹26.32	₹38.47	Deep reasoning, proofs, research
DeepSeek V4 Flash	₹9.11	₹18.21	High-volume chat, RAG
GPT-4o	₹253.07	₹1,012.28	Multimodal production apps
Claude Opus	₹506.14	₹2,530.71	Frontier general reasoning

Every rate above is live on /models and billed straight in rupees — no international card, nothing to reconcile against a foreign invoice.

How to call V3.2

1. Create an account → https://unoblox.ai/sign-in and generate a key (ub-gw-…).
2. Point your SDK at unoblox → base_url = https://api.unoblox.ai/v1.
3. Set the model → deepseek-ai/deepseek-v3.2, with a generous max_tokens since reasoning consumes output tokens.

from openai import OpenAI

client = OpenAI(api_key="ub-gw-...", base_url="https://api.unoblox.ai/v1")
completion = client.chat.completions.create(
    model="deepseek-ai/deepseek-v3.2",
    messages=[{"role": "user", "content": "Walk through this proof step by step..."}],
    max_tokens=4000,
)

Where V3.2 earns its keep

• Research and analysis — synthesizing papers, spotting contradictions, building hypotheses.
• Hard math and logic — olympiad-style problems, multi-step algebra, formal proofs.
• Code review for correctness — tracing subtle bugs through cryptography or concurrent code.
• Scientific computation — multi-step derivations where each step has to be right before the next.

Frequently asked questions

Is V3.2 overkill for a simple chatbot? Usually, yes. Use DeepSeek V4 Flash instead — you'll save roughly ₹17 per million input tokens and get a snappier response for tasks that don't need deep reasoning.

How do I control how much V3.2 "thinks"? Through max_tokens. Reasoning tokens count as output, so set a generous ceiling (3000+) for genuinely hard problems and a smaller one when you want a tighter answer.

Can I stream V3.2's output? Yes — pass stream=true and tokens arrive as the model reasons, which is useful for showing progress on long-running requests.

Does unoblox charge extra for longer reasoning chains? No. You pay standard per-token output pricing regardless of how many internal steps the model takes — there's no separate "thinking" fee.

What if I need something between V3.2 and V4 Flash? Check /models for the full DeepSeek line-up and current rates — new tiers are added as they go live.

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