DeepSeek vs OpenAI pricing: ₹ rupees in 2026
DeepSeek vs OpenAI: ₹ pricing comparison. V3.2 at ₹26/1M vs GPT-4o at ₹252. See cost per token, model quality, and when to use each.
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 per 1M input tokens. GPT-4o costs ₹252. That's 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 | ₹26.21 | ₹38.30 | General, reasoning |
| DeepSeek V4 Flash | ₹9.07 | ₹18.14 | Fastest, cheapest |
| GPT-4o | ₹252 | ₹1,008 | Vision, complex |
| GPT-5 | ₹126 | ₹1,008 | High-end reasoning |
| Claude Opus | ₹504 | ₹2,520 | Long-form, nuance |
When to pick DeepSeek (₹26 vs ₹252)
- 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 ₹252 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 × ₹26.21) + (20 × ₹38.30) = ₹1,572.60 + ₹766.00 = ₹2,338.60
GPT-4o: (60 × ₹252) + (20 × ₹1,008) = ₹15,120.00 + ₹20,160.00 = ₹35,280.00
Savings: ₹32,941.40/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.
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