Kimi K2.7 Code (Together)

PremiumOpen weights

TogetherCodingmoonshotai/Kimi-K2.7-Code

Current open-weights coding flagship — agentic repo-scale work.

Capabilities

Tool callingJSON mode

Recommended for

open-weights agentic coding
large-repo work

Using this model through Conduix

Call it by its id, or let a routing alias pick it as part of a governed, cross-provider chain with automatic failover.

Direct model idmoonshotai/Kimi-K2.7-Code

Reached by these routing aliases:

code-openprimary pick · Kimi K2.7 Code (Together) → Qwen 3.7 Plus (Together)
agentic-codefallback #2 · GPT-5.3 Codex → Claude Sonnet 5 → Kimi K2.7 Code (Together)

Routing relationships are operational — chains adapt to provider availability and your org's policy — not a contractual guarantee that a specific model serves a given request.

Get started

Conduix is OpenAI-API-compatible — point any OpenAI SDK at https://api.conduix.ai/v1 and pass moonshotai/Kimi-K2.7-Code as the model.

from conduix import Conduix

client = Conduix(api_key="cx_live_YOUR_KEY")  # base URL is built in

response = client.chat.completions.create(
    model="moonshotai/Kimi-K2.7-Code",
    messages=[{"role": "user", "content": "Hello, Conduix!"}],
)
print(response.choices[0].message.content)

Tool calling: Pass a tools array and the model calls your functions.
JSON mode: Set response_format for guaranteed-valid JSON output.

The response's x-conduix-model-served header tells you exactly which model answered. See the quickstart for keys, headers, and usage.