chat-gpt-5-4-nano
GitHub调用 GPT-5.4-nano 模型进行高吞吐量、低延迟任务，如分类、实体提取和路由。适用于对延迟敏感且需大量处理的工作负载，支持函数调用和结构化输出。
Trigger Scenarios
Install
npx skills add zerogpu/zerogpu-router --skill chat-gpt-5-4-nano -g -y
SKILL.md
Frontmatter
{
"name": "chat-gpt-5-4-nano",
"description": "Chat with gpt-5.4-nano, the most cost-efficient model in OpenAI's GPT-5.4 family, built for high-volume and latency-sensitive workloads such as classification, extraction, routing, and sub-agent tasks, with function calling, structured outputs, and a 400K-token context window. Use when throughput and latency matter more than depth. Matches chat-gpt-5-6-luna on input price over a larger context.",
"allowed-tools": "Bash(zerogpu chat_completions *)",
"argument-hint": "<text>"
}
Call gpt-5.4-nano. $ARGUMENTS is the raw prompt — pass it verbatim, no escaping or quoting required (the heredoc below handles every shell metacharacter, newline, quote, and paren safely):
zerogpu chat_completions -m gpt-5.4-nano <<'ZGPU_END_OF_INPUT'
$ARGUMENTS
ZGPU_END_OF_INPUT
At $0.20 / $1.25 per 1M input/output tokens this matches /zerogpu-router:chat-gpt-5-6-luna on input and costs marginally more on output, over a 400K-token window rather than 272K. It is twice /zerogpu-router:chat-gpt-6-luna on input and two and a half times on output. For a prompt that fits in 131K tokens, /zerogpu-router:chat is cheaper on both.
Output is the assistant's answer as plain text. Relay the answer as-is — do not rewrite or expand it.
Savings note: only if the command output literally contains a line starting with 💰 ZeroGPU savings, append that exact line, unchanged, as the last line of your reply. If no such line is present, say nothing about savings and do not mention or suggest /zerogpu-router:cost-savings — this note is intentionally occasional, not shown every time.
Version History
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605eceb
Current 2026-11-02 19:12
v3.3.0版本同步了Dashboard API中的模型信息，更新了GPT-5.4-nano与其他模型的性价比对比描述。
- 59e0f53 2026-09-27 19:56
