Coding · May 2026

Kimi K2.7 Code

Specialized coding model optimized for software engineering and agentic coding workflows.

By Moonshot · Text · Modified MIT

Context

256K tokens

Modality

Text

Architecture

MoE

License

Modified MIT

Per 1M tokens $0.75 in · $3.50 out
Model details

Specs & substance

Developed by
Moonshot
Model family
Kimi
Use case
Coding
Modality
Text
Context window
256K tokens
Architecture
MoE
Version
K2.7 Code
License
Modified MIT
Pricing
$0.75 in · $3.50 out · $0.16 cache read
Released
May 2026
Endpoint
parasail-kimi-k27-code

Specialized coding model optimized for software engineering and agentic coding workflows.

Kimi K2.7 Code is part of the Kimi family by Moonshot, and sits in the coding category. It supports a 256K tokens context window and is built on a MoE architecture.

Key strengths: coding, agentic. Parasail serves Kimi K2.7 Code on a global fleet of current-gen GPUs behind a single OpenAI-compatible endpoint — with per-token pricing, no minimums, and dedicated capacity options when you need guaranteed throughput.

Integrate

Drop-in via the OpenAI SDK

Point any OpenAI-compatible client at Parasail and change the model name. That's it.

python parasail · Kimi K2.7 Code
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.parasail.io/v1"
)

response = client.chat.completions.create(
    model="parasail-kimi-k27-code",
    messages=[
        {"role": "user", "content": "Hello, what can you do?"}
    ],
    stream=True,
    max_tokens=1000
)

for chunk in response:
    if chunk.choices and chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="", flush=True)
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