# Moonshot AI — models, pricing & selection | Y-API

> Moonshot AI’s Kimi line on Y-API has two multimodal entries: K2.6 at a 262,144-token window focused on coding and UI work, and K3 at a full million tokens built for long-horizon agents and repository-scale tasks.

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Vendor scope: 2 reviewed models.

Sources reviewed: 2026-10-04. Y-API catalog snapshot: 2026-10-04.

## About this vendor

Vendor-level selection advice by Y-API. The per-model pages linked below carry the model-specific checks; nothing here is a measured comparison.

### Where this vendor fits

Kimi occupies the premium open-weight tier: above GLM and DeepSeek on price, below Claude and GPT-5.6, with the differentiator that K3’s weights are published and its card is auditable in a way closed frontier models are not.

### What to watch for

The roughly 4× output-price gap between K3 and K2.6 makes model choice a budget decision, and agent-style loops multiply exposure because every turn re-reads context at input price. K2.6’s smaller window also changes what a long task means on that entry.

## Models on Y-API

Prices are account-credit snapshots from the Y-API catalog. Each model links to its own guide with a cost estimator and a request example.

| Model | Context window | Input / 1M tokens | Output / 1M tokens |
| --- | --- | --- | --- |
| [Kimi K3](https://y-api.bestvirtualgoods.com/models/moonshotai/kimi-k3) | 1,048,576 | $3.00 | $15.00 |
| [Kimi K2.6](https://y-api.bestvirtualgoods.com/models/moonshotai/kimi-k2.6) | 262,144 | $0.95 | $4.00 |

$1 paid adds $10 of credit; the cash equivalent is credit consumed ÷ 10. These are Y-API prices, not the publisher’s list prices.

## Choosing within the lineup

Route UI generation and bounded coding tasks to K2.6 first, and promote a workload to K3 when tasks demonstrably exceed its window or run many tool turns. Compare both against GLM 5.3 and Claude Sonnet 5 on the same repository task before settling.

## Before you choose

### When is Kimi K3 worth its premium over K2.6?

Only a task-level comparison can establish it. K3’s million-token window and agent focus matter when work genuinely exceeds 262,144 tokens or runs long tool loops; for bounded component work the price difference is rarely justified.

## Sources & scope

Vendor scope on this site is exactly the reviewed model guides listed above; a vendor page exists only while at least one of its models is reviewed. Claims about architecture or positioning follow the cited pages. We do not publish measured latency, uptime or benchmark scores for any vendor.

- [OpenRouter vendor page](https://openrouter.ai/moonshotai)
- [Publisher organization on Hugging Face](https://huggingface.co/moonshotai)
- [Y-API catalog & prices (JSON)](https://y-api.bestvirtualgoods.com/models.json)

## Links

- HTML version of this page: https://y-api.bestvirtualgoods.com/models/moonshotai
- Site index for agents: https://y-api.bestvirtualgoods.com/llms.txt
- Full reference (single file): https://y-api.bestvirtualgoods.com/llms-full.txt
- OpenAPI 3.1 spec: https://y-api.bestvirtualgoods.com/openapi.json
- Model catalog (JSON, no key needed): https://y-api.bestvirtualgoods.com/models.json
- API base URL: `https://api.y-api.bestvirtualgoods.com/v1`
- Contact: support@bestvirtualgoods.com
- Model catalog: https://y-api.bestvirtualgoods.com/models
- Integration guide: https://y-api.bestvirtualgoods.com/docs