Gemini vs GPT-5: which AI API for India?
Compare Google Gemini and OpenAI GPT-5 for your needs. ₹-native pricing, performance benchmarks, and India-first API setup.
Gemini vs GPT-5: which should you use?
Google Gemini and OpenAI GPT-5 are the top general-purpose AI models. Gemini excels at long-context reasoning and multimodal tasks; GPT-5 leads in coding and mathematical reasoning. In India, unoblox delivers both through one OpenAI-compatible endpoint, billed in rupees on a single GST invoice — no international card or international bank needed.
Model comparison
| Feature | Gemini | GPT-5 |
|---|---|---|
| ₹ Input cost | See live pricing | ₹126/1M tokens |
| ₹ Output cost | See live pricing | ₹1008/1M tokens |
| Context window | 1M+ tokens | 128K tokens |
| Reasoning depth | Very good (long docs) | Exceptional (code, math) |
| Vision capability | Native multimodal | Strong |
| API latency | Fast | Very fast |
| Real-time search | Yes | No |
When to use Gemini
Gemini shines for long-document analysis, multimodal workflows, and search-powered answers. Use it if your input often exceeds 100K tokens or you need image/video understanding. The million-token context is unmatched.
# Point any OpenAI SDK to unoblox
BASE_URL=https://api.unoblox.ai/v1
MODEL=google/gemini-2.0-flash # or your choice
api_key=ub-gw-...
When to use GPT-5
GPT-5 is best for code generation, complex reasoning, and agent orchestration. Its faster reasoning and sharper accuracy on STEM tasks make it ideal for developers. Lower ₹ latency also speeds up agentic loops.
Frequently asked questions
Q: Can I run both Gemini and GPT-5 with a single API key?
Yes. One ub-gw-... key works with every model on unoblox. Switch by changing the model parameter.
Q: What's the ₹ cost difference at scale? Both are competitively priced in rupees. Check live ₹ rates on unoblox for exact tokens (Gemini varies by model version).
Q: Does Gemini's long context add latency? Not significantly. Gemini efficiently processes million-token inputs without proportional slowdown.
Q: Which model is better for a RAG system? GPT-5 for recall-accuracy pipelines; Gemini for flexible, long-memory retrieval.
Q: Can I switch models mid-deployment? Yes—just redeploy with a new model ID. No code rewrite needed.
Q: Is there a free tier? Qwen 1.7B is free (₹0). Gemini and GPT-5 are paid; check live pricing.
Why unoblox for either choice?
- ₹ native — Pay in rupees, claim GST input credit.
- One endpoint —
https://api.unoblox.ai/v1works with Gemini, GPT-5, Qwen, Claude, Llama, and more. - No vendor lock-in — Switch models without rewriting.
- India-fast — Hosted locally for low latency and data residency.
Get started in rupees → https://unoblox.ai/sign-in
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Start building in rupees
Call every major model through one OpenAI-compatible endpoint, billed in ₹ on a GST invoice.