# Kimi K2.6 — API, capabilities & pricing | Y-API

> Kimi K2.6 is a native multimodal model focused on coding, UI generation and agent orchestration. The reference catalog lists text and image inputs, with a smaller context window than the K3 entry.

This is the markdown representation of https://y-api.bestvirtualgoods.com/models/moonshotai/kimi-k2.6. Generated by `scripts/generate-seo-assets.mjs` from the same copy the page renders — do not edit by hand.

Model ID: `moonshotai/kimi-k2.6`

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

## Choosing this model

Selection advice by Y-API. The checks below are suggested evaluations, not published test results.

### Where to start

Use it as a candidate for converting interface requirements into components and tests. Include empty, loading, error and narrow-screen states rather than evaluating only an attractive default screenshot.

### What to watch for

The Kimi product’s agent-swarm workflow is not an automatic feature of a Chat Completions response. Image forwarding and tool execution must be validated in the client you actually deploy.

## Model specifications

These are OpenRouter model-level specifications, not a Y-API compatibility test. A particular route may accept fewer input formats, parameters or tokens. Verify the features you need with a small request; a successful text response does not validate vision or tool calling.

| Field | Value |
| --- | --- |
| Context window | 262,144 tokens |
| Input | Text, Image |
| Output | Text |
| Listed on OpenRouter | 2026-04-20 |
| Parameters listed by OpenRouter | `frequency_penalty`, `include_reasoning`, `logit_bias`, `logprobs`, `max_tokens`, `min_p`, `parallel_tool_calls`, `presence_penalty`, `reasoning`, `repetition_penalty`, `response_format`, `seed`, `stop`, `structured_outputs`, `temperature`, `tool_choice`, `tools`, `top_k`, `top_logprobs`, `top_p` |

## Estimate your cost

| Price basis | Input / 1M tokens | Output / 1M tokens |
| --- | --- | --- |
| Account credit | $0.95 | $4.00 |
| Cash equivalent | $0.095 | $0.40 |

$1 paid adds $10 of credit. Cash equivalent = credit consumed ÷ 10; this is not the model publisher’s list price.

Input tokens / request: 1000. Output tokens / request: 500. Number of requests: 1000.

Estimated credit consumed: $2.95. Estimated cash equivalent: $0.295.

Illustrative token budget, not measured usage or a quote. Includes input and output; excludes separate media charges, cache discounts and retries. Include billed reasoning tokens in your output budget where applicable. Actual billing follows usage returned by the service.

### Same token budget, different models

| Model | Estimated credit consumed | Estimated cash equivalent |
| --- | --- | --- |
| [Kimi K2.6](https://y-api.bestvirtualgoods.com/models/moonshotai/kimi-k2.6) | $2.95 | $0.295 |
| [Kimi K3](https://y-api.bestvirtualgoods.com/models/moonshotai/kimi-k3) | $10.50 | $1.05 |
| [Qwen3.8 Flash](https://y-api.bestvirtualgoods.com/models/qwen/qwen3.8-flash) | $0.45 | $0.045 |

## Use the API

These minimal, text-only requests use the exact Y-API model ID. They do not demonstrate image, audio, video, file or tool support. The output limit also needs room for reasoning; an empty answer with finish_reason=length can mean the budget was exhausted.

Set the TOKEN environment variable to a key from your console. Run this on your server or locally; never expose a key in browser code or a public repository.

### A task to try

Design the states of a searchable model list: loading, no matches, failed refresh and success. State what happens to existing results when a refresh fails.

```bash
curl --fail-with-body --silent --show-error --max-time 120 \
  'https://api.y-api.bestvirtualgoods.com/v1/chat/completions' \
  -H "Authorization: Bearer ${TOKEN:?Set TOKEN first}" \
  -H 'Content-Type: application/json' \
  --data-binary @- <<'JSON'
{
  "model": "moonshotai/kimi-k2.6",
  "messages": [
    {
      "role": "user",
      "content": "Design the states of a searchable model list: loading, no matches, failed refresh and success. State what happens to existing results when a refresh fails."
    }
  ],
  "max_tokens": 4096
}
JSON
```

```python
import json
import os
import sys
import urllib.error
import urllib.request

payload = {
  "model": "moonshotai/kimi-k2.6",
  "messages": [
    {
      "role": "user",
      "content": "Design the states of a searchable model list: loading, no matches, failed refresh and success. State what happens to existing results when a refresh fails."
    }
  ],
  "max_tokens": 4096
}

request = urllib.request.Request(
    "https://api.y-api.bestvirtualgoods.com/v1/chat/completions",
    data=json.dumps(payload).encode("utf-8"),
    headers={
        "Authorization": "Bearer " + os.environ["TOKEN"],
        "Content-Type": "application/json",
    },
    method="POST",
)
try:
    with urllib.request.urlopen(request, timeout=120) as response:
        result = json.load(response)
    print(json.dumps(result, ensure_ascii=False, indent=2))
except urllib.error.HTTPError as error:
    print(error.read().decode("utf-8"), file=sys.stderr)
    raise SystemExit(1)
```

### How to evaluate the result

A failed refresh should not erase usable cached results. Check keyboard access, retry behavior and clear distinction between no results and data not yet loaded.

## Before you choose

### Should I choose K2.6 or K3 for frontend work?

Compare the same component task and visual acceptance checks. K3 has a larger published context; that alone does not determine whether a smaller UI task benefits from it.

## Sources & scope

Technical facts come from the cited model page and, where available, its linked publisher card. A card describes that checkpoint; it is not proof of the weights a gateway serves. Prices come only from the Y-API catalog. We do not claim measured latency, uptime or benchmark scores for this endpoint.

- [OpenRouter model page & specifications](https://openrouter.ai/moonshotai/kimi-k2.6)
- [Publisher model card linked by OpenRouter](https://huggingface.co/moonshotai/Kimi-K2.6)
- [Y-API catalog & prices (JSON)](https://y-api.bestvirtualgoods.com/models.json)

## Models to compare

Compare these alternatives on the same inputs. Their descriptions explain different roles; a lower price does not establish equivalent quality.

### [Kimi K3](https://y-api.bestvirtualgoods.com/models/moonshotai/kimi-k3)

Kimi K3 is Moonshot AI’s open-weight multimodal model for coding, knowledge work and long-horizon agents. Its published design emphasizes iterating against repositories, images, logs and runtime feedback rather than generating a single isolated answer.

### [Qwen3.8 Flash](https://y-api.bestvirtualgoods.com/models/qwen/qwen3.8-flash)

Qwen3.8 Flash is Alibaba’s multimodal reasoning entry for text, images and video in the OpenRouter catalog. It brings document and chart understanding into the same model selection as coding assistance and long-context analysis.

## Links

- HTML version of this page: https://y-api.bestvirtualgoods.com/models/moonshotai/kimi-k2.6
- 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