Home โบ Models โบ Kimi K2.7 Code
Moonshot's coding-specialist tier โ code-focused reasoning for agents and IDE backends at flat value pricing.
ValueBest for: Coding-specialist tier for agents and IDE backends.
| Specification | Value |
|---|---|
| Bridge price | $0.56 / $1.13 per 1M tokens |
| Cached input | $0.056 per 1M tokens |
| Context window | 256K tokens |
| Max output | 16,384 tokens |
| Strengths | Code, reasoning, agents |
from openai import OpenAI
client = OpenAI(base_url="https://bridge.computeindex.net/v1", api_key="sk-bridge-YOUR_KEY")
completion = client.chat.completions.create(
model="kimi-k2.7-code",
messages=[
{"role": "system", "content": "You are a senior engineer reviewing pull requests."},
{"role": "user", "content": "Review this diff for correctness: ..."},
],
)
print(completion.choices[0].message.content)
Is this the same model as Moonshot's official? Yes โ the same model, served through the Bridge OpenAI-compatible gateway.
K2.7 Code or DeepSeek V4 Pro for coding? Both are strong; K2.7 Code is tuned for code-specific workloads and long agentic sessions.