DeepSeek vs OpenAI pricing: ₹ rupees in 2026

DeepSeek vs OpenAI: the ₹ price story

DeepSeek's V3.2 and V4 models arrive at a fraction of OpenAI's cost. In rupees, the gap widens: DeepSeek V3.2 costs ₹26.32 per 1M input tokens. GPT-4o costs ₹253.07. That's about 10x cheaper.

But cost alone doesn't pick a model. Accuracy, speed, coding, reasoning all matter. Here's the breakdown on unoblox.

₹ price comparison (per 1M tokens, input / output)

Model	Input	Output	Best for
DeepSeek V3.2	₹26.32	₹38.47	General, reasoning
DeepSeek V4 Flash	₹9.11	₹18.21	Fast, lowest rate in this table
GPT-4o	₹253.07	₹1,012.28	Vision, complex
GPT-5	₹126.53	₹1,012.28	High-end reasoning
Claude Opus	₹506.14	₹2,530.71	Long-form, nuance

When to pick DeepSeek (₹26.32 vs ₹253.07)

• High-volume tasks: chats, summarization, classification
• Code generation (90+ on benchmarks)
• Tight ₹ budgets: startups, educational tools
• Reasoning-friendly workloads
• Multilingual (strong on Hindi, Chinese)

When to pick GPT-4o (despite ₹253.07 cost)

• Vision/image analysis required
• Complex reasoning chains (law, research)
• Fine-tuning for task-specific accuracy
• Mature API stability (production, SLAs)
• Non-technical teams (simplicity)

Real ₹ budget: 60M input + 20M output tokens a month

DeepSeek V3.2: (60 × ₹26.32) + (20 × ₹38.47) = ₹1,579.20 + ₹769.40 = ₹2,348.60

GPT-4o: (60 × ₹253.07) + (20 × ₹1,012.28) = ₹15,184.20 + ₹20,245.60 = ₹35,429.80

Savings: ₹33,081.20/month by switching to DeepSeek — while keeping GPT-4o on standby for the requests that need its vision or reasoning edge.

Quality vs cost

On most day-to-day tasks — chat, classification, translation, summarization — DeepSeek and GPT-4o are hard to tell apart, and DeepSeek holds up especially well on code. GPT-4o still leads on cutting-edge reasoning chains and anything involving vision.

Frequently asked questions

Q: Is DeepSeek as good as GPT-4o? For most tasks: yes. Reasoning and vision: GPT-4o edges ahead. Quality-to-cost ratio unbeatable in rupees.

Q: Why is DeepSeek so cheap? Efficient architecture, lower training cost, competition pricing. Genuinely fast and good—not a compromise.

Q: Should I always pick DeepSeek? No. Use DeepSeek for high-volume, cost-sensitive workloads. Use GPT-4o for vision, complex reasoning, risk-averse production.

Q: How do I test both? Build a small prototype with both. unoblox supports both at the same endpoint. Swap the model param; measure latency and cost.

Q: Can I mix models in one app? Absolutely. Route complex tasks to GPT-4o, routine tasks to DeepSeek. Hybrid strategies save ₹ significantly.

Q: Does unoblox have both? Yes. DeepSeek V3.2, V4, V4.1 Flash, and GPT-4o all at https://api.unoblox.ai/v1.

Get started in rupees

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