arkcli-pricing

A pricing lookup for Volcengine Ark models and AgentPlan or CodingPlan subscriptions. It separates pay-per-use model charges from subscription prices and includes account-specific discounts when returned by the service.

In plain words
What is it for?
It helps compare input, output, batch, cached-context, training, fine-tuning, and custom-model inference prices, as well as plan prices and available free allowances.
Why use it?
It prevents mixing model usage costs with plan fees and helps explain which charge applies to a model or subscription.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/volcengine/ark-cli/arkcli-pricing
Any agent
npx skills add volcengine/ark-cli --skill arkcli-pricing
Clone the repo
git clone --depth 1 https://github.com/volcengine/ark-cli

Made for: Claude Code, Codex.

Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,828 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00153 $0.02828
Opus 5 $0.00077 $0.01414
Sonnet 5 $0.00031 $0.00566
Haiku 4.5 $0.00015 $0.00283

Measured 2d ago against content hash 7ac2935cbedd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

arkcli-pricing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/arkcli-pricing/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

arkcli pricing

CRITICAL — 开始前 MUST 用 Read 工具读取 ../arkcli-shared/SKILL.md,其中包含认证闸门、配置排查与共享安全规则。

适用场景

  • 查询基础模型(foundation model)的结算单价(输入 / 输出 / 批量推理 / 上下文缓存等多种 ChargeItem)
  • 查看免费额度(InferenceFreeUsageResourcePackItems)和欠费状态(IsOverdue)
  • 查看子服务开通态(SubServices:base / context-cache / fast-infer)
  • 按模态过滤价格目录
  • 查询 AgentPlan / CodingPlan 套餐订阅价格(个人版 + 企业版,共 12 档)

业务定位

  • 两类定价分开管:模型按量计费(pricing models)和 套餐订阅价(pricing plans)是两个完全独立的命令。决策见下方"模型 vs 套餐"段
  • 仅覆盖 foundation 模型(基础模型) 的目录式定价。但 base 模型的 ChargeItems 是全口径——既包含基础模型推理价,也包含用它做精调时的训练费率(Finetune / LoraFinetune),以及精调出来的 custom model 调用时的推理价(FinetuneInference* / FinetuneI2I* 等)。所以查 base 模型一次就能拿到所有相关费率。
  • 后端 API 不返回 custom 模型(精调出来的 cm-*)单独条目——费率本来就嵌在 base 模型 ChargeItems 数组里。但 arkcli 已经做了反查糖衣:pricing models --model cm-xxx 会自动调 GetCustomModel 拿到 base name 后再查价,响应顶层多挂一个 resolved_custom_model 字段(customization_type + foundation_model_name / foundation_model_version),Agent 据此挑对应 ChargeItem.Type 即可,不需要手动做两段式
  • 不覆盖 Endpoint 维度的实际消耗 → 用 arkcli-usage
  • 不含限速 / Token 上限 / context window:这些是 arkcli-models 的范畴,转 ../arkcli-models/SKILL.md。pricing 只管"钱"
  • 不覆盖语音模型费用:TTS / ASR / 配音 / 朗读 / 播客 / 音色 / 实时语音交互,或 doubao-seed-tts-* / doubao-seed-asr-* / seedasr-* 等广场语音模型,当前在 arkcli 只支持 models search 发现;不要用 pricing models --model--modality Audio 回答其价格
  • Price = 含当前账号折扣的最终单价(后端已按合同/活动/套餐计算),不需要再做客户端折扣计算
  • OriginalPrice = 公示原价;Price < OriginalPrice 即说明账号有折扣

命令

命令 说明
pricing models 列基础模型结算单价目录(按量计费、按 token 收费)
pricing plans 列订阅套餐价格(AgentPlan / CodingPlan 个人版 + 企业版)

模型 vs 套餐 — 用哪个命令

用户问的是"按 token 算的单价"还是"包月套餐价"?这是关键判别点。

用户措辞 该用 理由
"DeepSeek-V4 多少钱" / "doubao-seed 多少钱" / "GPT-X 价格" pricing models 模型名 → 按 token 计费
"图生图多少钱一张" pricing models 按调用计费,在 ChargeItems 里
"音频识别每分钟多少" / "TTS 多少钱" / "语音模型费用" arkcli-models 当前 arkcli 仅支持语音模型广场发现,不支持费用查询
"做精调多少钱" / "精调一个模型多少 token 钱" pricing models 精调费率在 base 模型 ChargeItems 内嵌(看 Finetune / LoraFinetune type)
"我的 cm-xxx 调用多少钱" / "这个精调出来的模型多少钱" pricing models --model cm-xxx CLI 自动反查 base + 透出 resolved_custom_model.customization_type,按下表抽 ChargeItem
"Agent Plan 多少钱" / "Agent Plan 个人版 small 多少钱" pricing plans 套餐名 → 包月订阅
"Coding Plan 多少钱" / "lite / pro 套餐价" pricing plans 同上
"Agent Plan 企业版价格" / "团队版多少钱" pricing plans --edition enterprise 同上

Read the full file on GitHub · 122 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 122 lines · 153 tokens per session scan A 7ac2935cbedd

Subscribe to this mod's changes

arkcli-pricing is a skill published in the GitHub repository volcengine/ark-cli (112 stars, last pushed 5d ago), licensed Apache-2.0. It adds 153 tokens to every session and 2,828 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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