Moonshot Kimi API in India

Moonshot's Kimi K3 is a Chinese-built model known for long-context reasoning, code, and multilingual strength. On unoblox it's priced at ₹288.49 per million input tokens and ₹1,442.50 per million output tokens — OpenAI-compatible, GST-invoiced, no international licensing to negotiate.

Pricing and capabilities

Per 1M tokens:

• Input: ₹288.49
• Output: ₹1,442.50
• Context: built for very long inputs — reasoning across entire documents or codebases in one request is Kimi's signature strength.

What Kimi excels at

Long-context reasoning — feeding an entire codebase, research paper, or multi-document set into a single request without chunking.

Coding tasks — competitive with GPT-4o on generation, review, and explanation, especially around Chinese-ecosystem frameworks.

Multilingual depth — native fluency in Mandarin and English, with solid support for Hindi and other Indian languages.

Math and step-by-step logic — detailed, traceable reasoning that's useful for education and research applications.

Long-form and creative writing — strong output quality across multiple languages.

Two-line setup

Base URL: https://api.unoblox.ai/v1
Model: moonshotai/kimi-k3
API Key: ub-gw-[your-key]

Streaming and JSON-mode output are available, and Kimi K3 accepts image input on unoblox.

Why Kimi on unoblox

Portfolio diversification — not every workload is best served by GPT or Claude; Kimi offers a genuinely different reasoning style, especially for multilingual and China-adjacent use cases.

Rupee pricing removes friction — even where Kimi costs more per token than a lightweight model like Scout, ₹-native billing keeps forecasting simple and GST-compliant.

Long context — Kimi K3 accepts up to 1,048,576 tokens on unoblox; for RAG, legal document review, or whole-codebase analysis, Kimi's context handling is a genuine differentiator among the models on the catalog.

Frequently asked questions

How does Kimi compare to Claude Opus on cost? Kimi K3 costs a little over half of Claude Opus per token (₹288.49 vs ₹506.14 input; ₹1,442.50 vs ₹2,530.71 output) — worth comparing for teams that don't need Opus's specific strengths.

Is Kimi good for production use? Yes, particularly for asynchronous workloads — batch processing, background jobs, and real-time chat where your SLA allows normal response times.

Does Kimi have any content restrictions I should know about? Kimi operates under Chinese regulatory frameworks. For sensitive geopolitical or security-critical work, many teams prefer Claude or GPT; for general development, Kimi is reliable.

Can I actually use the full long context effectively? Yes — for RAG over a large knowledge base, feeding more of it directly to Kimi in one request can reduce round-trips and improve answer quality versus aggressive chunking.

How is my data handled? unoblox processes and briefly logs requests for debugging; no data is shared back to Moonshot beyond what's needed for inference. See /guides/ai-api-security-india for details.

Is Kimi's training data current enough for most applications? It's current enough for the vast majority of production use cases; for anything time-sensitive, pair it with retrieval over your own up-to-date sources rather than relying on parametric knowledge alone.

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