Kimi K2.7 Code HighSpeed overview
Kimi K2.7 Code HighSpeed by Moonshot AI
Discover Kimi K2.7 Code HighSpeed for code generation, debugging, agent workflows, and automation.
Kimi K2.7 Code HighSpeed specs
- Model ID
moonshot/kimi-k2-7-code-highspeed- Developer
- Moonshot AI
- Context window
- 262,144 tokens
- Max output
- 260,000 tokens
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
What Is Kimi K2.7 Code HighSpeed?
Kimi K2.7 Code HighSpeed is a specialized large language model developed by Moonshot AI for professional software engineering, code generation, debugging, and agent-based development workflows. Rather than positioning itself as a general-purpose conversational assistant, the model is optimized for writing production-quality code, understanding complex repositories, executing multi-step programming tasks, and accelerating software development through high-speed inference.
The HighSpeed edition builds on the capabilities of the K2.7 Code family while significantly reducing latency and increasing token generation throughput. Developers can expect much faster response times without sacrificing the reasoning quality that makes Kimi models particularly effective for long coding sessions and iterative development.
Advanced Code Generation
Kimi K2.7 Code HighSpeed is capable of producing complete software components rather than isolated snippets. Developers can request entire APIs, backend services, frontend interfaces, automation scripts, infrastructure configurations, or database schemas, and the model maintains logical consistency throughout the generated solution.
Its understanding extends beyond syntax. The model recognizes software architecture, common design patterns, dependency management, testing methodologies, and best engineering practices, allowing it to generate code that is substantially closer to production quality.
Intelligent Debugging
Debugging represents one of the model's strongest capabilities. Instead of merely identifying syntax errors, Kimi analyzes execution logic, traces dependencies, explains runtime behavior, and proposes targeted fixes with detailed reasoning.
When presented with stack traces, compiler errors, or failing unit tests, the model can identify the underlying cause rather than simply describing the visible symptoms. This makes it valuable for both experienced software engineers and developers learning unfamiliar frameworks.
Long-Context Repository Understanding
Modern software projects often contain hundreds or thousands of files. Kimi K2.7 Code HighSpeed is designed to process extensive project context, enabling it to understand relationships between modules, shared utilities, configuration files, documentation, and implementation details.
This long-context capability allows developers to ask questions about an entire repository instead of providing isolated code fragments. The model can explain architecture, identify inconsistencies, recommend refactoring strategies, and generate new components that integrate naturally into an existing codebase.
AI Coding Assistants
Software companies can integrate Kimi K2.7 Code HighSpeed into intelligent coding assistants capable of generating code, reviewing pull requests, explaining unfamiliar codebases, and assisting developers throughout the software development lifecycle.
Enterprise Software Development
Organizations managing large engineering teams can deploy the model to accelerate internal development, automate documentation generation, improve onboarding, and standardize coding practices across multiple projects.
Use cases
Kimi K2.7 Code HighSpeed is documented as suited to latency-sensitive coding and agentic workloads.
It is also described as a fit for interactive coding agents and IDE assistants where fast response time matters.
Another documented use case is multi-step agentic workflows, including debugging, refactoring, and feature implementation.
It is additionally described as useful for advanced long-horizon coding and multi-agent orchestration.
Capabilities
- Function calling
- Streaming
- Structured outputs
- Web search
Kimi K2.7 Code HighSpeed API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $1.9 | 1M tokens |
| Output | $8 | 1M tokens |
| Cached input | $0.38 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Kimi K2.7 Code HighSpeed vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 Kimi K2.7 Code HighSpeed | $1.9 | $8 |
| Kimi K2.7 Code | $0.95 | $4 |
| Kimi K3.1 Pro | $2 | $10 |
| Kimi K3 | $3 | $15 |
| Kimi K3.1 Pro Highspeed | $4 | $20 |
How to use the Kimi K2.7 Code HighSpeed API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "moonshot/kimi-k2-7-code-highspeed",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "moonshot/kimi-k2-7-code-highspeed",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "moonshot/kimi-k2-7-code-highspeed",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to Kimi K2.7 Code HighSpeed
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Kimi K2.7 Code HighSpeed FAQ
What is the context window of Kimi K2.7 Code HighSpeed?
Kimi K2.7 Code HighSpeed has a 262,144 tokens context window and can return up to 260,000 tokens.
What inputs and outputs does Kimi K2.7 Code HighSpeed support?
Kimi K2.7 Code HighSpeed takes text as input and returns text.
What is the model ID for Kimi K2.7 Code HighSpeed?
Use moonshot/kimi-k2-7-code-highspeed as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
How much does Kimi K2.7 Code HighSpeed cost?
Kimi K2.7 Code HighSpeed costs $1.9 input and $8 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Does Kimi K2.7 Code HighSpeed support streaming?
Yes, Kimi K2.7 Code HighSpeed can stream responses as they are generated.
Who created Kimi K2.7 Code HighSpeed?
Kimi K2.7 Code HighSpeed was built by Moonshot AI.