Kimi K2.7 API in India

Kimi K2.7 is Moonshot AI's model in the catalogue, priced at ₹68.5 per 1M input tokens and ₹342.7 per 1M output tokens on unoblox, and its -code model id points to a build tuned for code-heavy work — callable from India on the same ₹-billed, OpenAI-compatible endpoint as every other model.

What the "code" naming signals

The model id moonshotai/kimi-k2.7-code marks this as the coding-oriented build in Moonshot's K2.7 line — a natural pick for code generation, code review, and technical Q&A rather than general open-ended chat. As with every model on unoblox, it's called through the same chat/completions endpoint, so routing a coding feature to it from an existing integration is a model field change, not a new client.

₹ pricing for Kimi K2.7

Model	Input (₹ / 1M tokens)	Output (₹ / 1M tokens)
Kimi K2.7	68.5	342.7
DeepSeek V3.2	26.21	38.30
Qwen3.8 27B	16.32	48.96

Kimi K2.7 sits above DeepSeek V3.2 and Qwen3.8 27B on both input and output cost in this comparison — worth weighing against your own code-quality testing rather than picking on price alone.

Calling Kimi K2.7 for a coding task

curl https://api.unoblox.ai/v1/chat/completions \
  -H "Authorization: Bearer ub-gw-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moonshotai/kimi-k2.7-code",
    "messages": [{"role": "user", "content": "Write a Python function that dedupes a list while preserving order."}]
  }'

The request and response format is the standard OpenAI chat completions shape — only the base URL, the ub-gw- key and ₹ billing differ from calling a provider's own API directly.

Where to use Kimi K2.7 vs other coding-capable models

• Kimi K2.7 — the dedicated code-tuned build in this catalogue; a natural first pick for a coding assistant feature.
• DeepSeek V3.2 — a cheaper general-purpose option that also handles code reasonably well, worth A/B testing against Kimi K2.7 for cost-sensitive coding workloads.
• Qwen3.8 27B — open-weights and vision-capable, useful if a coding feature also needs to read screenshots of error states or UI bugs.

Since all three sit behind the same key, testing them against your own codebase and prompts is the most reliable way to choose — not a general "best coding model" claim, which depends heavily on language and task.

Frequently asked questions

Is Kimi K2.7 available in India through unoblox? Yes, moonshotai/kimi-k2.7-code is callable on https://api.unoblox.ai/v1 right after signup, billed in rupees.

What does Kimi K2.7 cost on unoblox? ₹68.5 per 1M input tokens and ₹342.7 per 1M output tokens — check the model page for the live rate.

Is Kimi K2.7 specifically built for coding tasks? Its model id marks it as the code-tuned build in Moonshot's K2.7 line, making it a reasonable first choice for coding assistant features.

How does Kimi K2.7 compare on price to DeepSeek V3.2? Kimi K2.7 is priced higher on both input and output than DeepSeek V3.2 (₹26.21 / ₹38.30) — worth testing both against your own code samples.

Does using Kimi K2.7 through unoblox mean data stays in India? No, it runs on the upstream provider's infrastructure. The India-specific part is ₹ billing, a GST invoice and one endpoint, not data residency.

Is a GST invoice issued for Kimi K2.7 usage? Yes, combined with all other model usage into one monthly GST invoice from an Indian entity, with input tax credit claimable.

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