Every model.
One key. Zero limits.

LLMDuniya routes your requests across every AI provider and rotates keys the moment one runs dry. You send one request. We find the account that can answer it.

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Simple, transparent pricing

Provider list × ₹96 × 1.30. About 13% under a typical 1.5× INR reseller. No monthly plan.

Pay as you go

Ten models on one rupee wallet. A short DeepSeek Flash reply is about ₹0.11.

30% markup, not 50%
UPI and cards, no USD billing
Balance never expires

See token rates

WALLET

Buy credit

Minimum ₹100. Colleges can load ₹50,000 into an institutional credit wallet.

Linked from Buy in the playground
Speech is a flat ₹1 per session
Then chat in the playground

Buy wallet credit

What you actually pay

INR per million tokens after ₹96 FX and the 30% markup. Full table on Pricing.

Model	Input / 1M	Output / 1M	1k in + 500 out	vs 1.5× reseller
GPT-6.1 Sol	₹249.60	₹1,248	₹0.87	₹288 Save 13%
Claude Sonnet 5.5	₹249.60	₹1,248	₹0.87	₹288 Save 13%
DeepSeek V4 Pro	₹164.74	₹494.21	₹0.41	₹190 Save 13%
GPT-6 Luna	₹12.48	₹62.40	₹0.04	₹14.40 Save 13%
DeepSeek Flash	₹37.44	₹149.76	₹0.11	Lowest cost
Grok 4.7	₹249.60	₹748.80	₹0.62	₹288 Save 13%
Gemini 3.8 Flash	₹93.60	₹468	₹0.33	₹108 Save 13%

Frequently Asked Questions

Trained for long-horizon, agentic workflows

LLMDuniya isn't just a single chatbot—it's a unified orchestration layer. You can seamlessly switch between GPT, Claude, and DeepSeek mid-conversation. Our context-trimming engine ensures the AI remembers the broader goal even across long, complex workflows without hitting hard token limits.

Competitive coding performance

Bring your hardest algorithmic challenges. Select Claude Opus 5.5 or GPT-6 Astra and send complex code blocks. Our streaming pipeline handles real-time syntax highlighting and Markdown rendering without freezing the UI, making it a powerful pair-programming tool.

Native multimodal perception

Upload images (PNG, JPEG, WEBP) directly into the chat. Our backend automatically translates the image format into the optimal structure for Claude or OpenAI (Note: DeepSeek models do not support image inputs). The AI can analyze UI screenshots, diagrams, and handwritten code.

How does the RAG memory work across chats?

If you tell the AI "My secret is 9876", our system extracts that fact and saves it to a secure vector database using text-embedding-3-small. When you open a new chat later, we retrieve that fact via cosine similarity and inject it into the system prompt, so the AI remembers you instantly.

Can I integrate this into my own app?

Yes. Go to the API Keys page to generate a secure llm_... token. Developers get access to our streaming SSE endpoints. You can use this to power multi-tenant chatbots, but remember to create a unique chatId for each of your end-users so their conversations don't mix.

Every model.One key. Zero limits.

Simple, transparent pricing

What you actually pay

Frequently Asked Questions

Every model.
One key. Zero limits.