Moonshot Kimi API in India

Moonshot's Kimi K2.7 is a Chinese-built model known for long-context reasoning, code, and multilingual strength. On unoblox it's priced at ₹68.5 per million input tokens and ₹342.7 per million output tokens — OpenAI-compatible, GST-invoiced, no international licensing to negotiate.

Pricing and capabilities

Per 1M tokens:

• Input: ₹68.5
• Output: ₹342.7
• 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: moonshot/kimi-k2.7
API Key: ub-gw-[your-key]

Streaming and JSON-mode output are available; check /models for the current vision support status.

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 at this price point is rare — 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 is roughly 7x cheaper than Claude Opus per token on both input and output (₹68.5 vs ₹504 input; ₹342.7 vs ₹2520 output) — worth it 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