What Kimi Code CLI / IDE can do: capabilities, cost, IDE integration, and best-fit workflows
Editorial standards and source policy: Editorial standards, Team. Content links to primary sources; see Methodology.
As of July 2, 2026, Kimi Code is a terminal AI coding agent. The official README says it can read and edit code, run shell commands, search files, fetch web pages, and continue based on feedback. It also lists video input, MCP configuration, plugins, subagents, hooks, and ACP/IDE integration.
| Capability | Visible capability | Why it matters | Guardrail |
|---|---|---|---|
| Read and edit code | yes | changes the repository directly | inspect every diff |
| Run shell commands | yes | runs tests, builds, scripts | confirm risky commands |
| Search files | yes | locates entry points in unfamiliar repos | constrain large repositories |
| Fetch web pages | yes | pulls docs and issue context | verify source quality |
| MCP / plugins / hooks / subagents | yes | connects tools and splits work | audit permissions |
| ACP / IDE | kimi acp |
works with Zed, JetBrains, ACP clients | login and repo permissions still matter |
| Entry point | Command or action | Best for | Note |
|---|---|---|---|
| macOS / Linux script | install.sh + curl -fsSL <install.sh> \| bash |
fastest CLI setup | official README says no Node.js required |
| Homebrew | brew install kimi-code |
repeatable install | convenient for developer machines |
| Windows PowerShell | install.ps1 + irm <install.ps1> \| iex |
Windows users | install Git for Windows first |
| First run | kimi, then /login |
OAuth or API key users | run inside the project directory |
| IDE / ACP | kimi acp |
Zed, JetBrains, ACP clients | connect after CLI login |
| Model | Context | Input cache hit | Input cache miss | Output | Best fit |
|---|---|---|---|---|---|
kimi-k2.7-code |
262,144 tokens | $0.19 / 1M tokens | $0.95 / 1M tokens | $4.00 / 1M tokens | coding model and repo-agent tasks |
kimi-k2.7-code-highspeed |
262,144 tokens | $0.38 / 1M tokens | $1.90 / 1M tokens | $8.00 / 1M tokens | high-speed coding sessions, about 180 tokens/s and up to about 260 tokens/s in short context |
kimi-k2.6 |
262,144 tokens | $0.16 / 1M tokens | $0.95 / 1M tokens | $4.00 / 1M tokens | general multimodal, tool use, JSON mode, and agent work |
kimi-k2.5 |
262,144 tokens | $0.10 / 1M tokens | $0.60 / 1M tokens | $3.00 / 1M tokens | lower-cost Kimi K2.x experiments |
moonshot-v1-128k |
131,072 tokens | n/a | $2.00 / 1M input tokens | $5.00 / 1M output tokens | V1 long-context generation reference |
deepseek-v4-flash |
1M | $0.0028 / 1M tokens | $0.14 / 1M tokens | $0.28 / 1M tokens | low-cost API baseline |
| 50k input + 10k output sample | Cache miss cost | Cache hit cost | Read this as |
|---|---|---|---|
deepseek-v4-flash |
$0.0098 | $0.00294 | lowest API cost baseline here |
deepseek-v4-pro |
$0.03045 | $0.00888 | stronger DeepSeek tier, still cheaper than Kimi K2.x in this sample |
kimi-k2.5 |
$0.0600 | $0.0350 | cheapest Kimi option in this set |
kimi-k2.6 |
$0.0875 | $0.0480 | general Kimi multimodal/agent option |
kimi-k2.7-code |
$0.0875 | $0.0495 | Kimi coding model baseline |
kimi-k2.7-code-highspeed |
$0.1750 | $0.0990 | higher price for interactive speed |
Estimate cost from the underlying model because the README does not publish a separate Kimi Code monthly subscription price. For a 50k input + 10k output coding task, kimi-k2.7-code costs about $0.0875 on cache miss or $0.0495 on cache hit. kimi-k2.6 is the general multimodal/agent comparison point; moonshot-v1-128k is an older V1 reference, not the Kimi Code-first estimate. Token cost is usually smaller than reviewer time.
A good 30-minute pilot starts on a clean branch: ask for a read-only repo explanation, give one README/test/script task, require command output, then review touched files and failure notes. Kimi Code fits small repository edits, codebase explanation, test additions, and IDE-assisted coding. It does not fit direct production-branch changes, secret directories, automatic deploys, or broad refactors without tests.
Official sources: Kimi model list, Kimi K2.7 Code pricing, Kimi K2.6 pricing, Kimi K2.5 pricing, Moonshot V1 pricing, Kimi Code GitHub, DeepSeek models pricing, DeepSeek API docs.
Related reading
- Top China-Built AI Models to Watch in 2026: DeepSeek, Qwen, Kimi & More
- Kimi Pricing and API Access for Builders
- Kimi Code CLI and IDE Evaluation for Builders
- How to Use the DeepSeek API for Builder Workflows
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