chat-deepseek-v4-1-flash
GitHub调用 deepseek-v4.1-flash 模型，适用于需要高难度推理、函数调用及长上下文的代码库或文档处理任务。
Trigger Scenarios
Install
npx skills add zerogpu/zerogpu-router --skill chat-deepseek-v4-1-flash -g -y
SKILL.md
Frontmatter
{
"name": "chat-deepseek-v4-1-flash",
"description": "Chat with deepseek-v4.1-flash, a sparse MoE model on DeepSeek's Causal Encoder-Decoder architecture (8B active on input, 16B on output) with a 1M-token context window. Use for large codebases, long documents, extended conversations, and multi-step agent tasks that want higher-effort reasoning or function calling. Costs about an eighth of chat-glm on input and a sixth on output, with four times its context.",
"allowed-tools": "Bash(zerogpu chat_completions *)",
"argument-hint": "<text>"
}
Call deepseek-v4.1-flash. $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 deepseek-v4.1-flash <<'ZGPU_END_OF_INPUT'
$ARGUMENTS
ZGPU_END_OF_INPUT
At $0.14 / $0.57 per 1M input/output tokens this is the middle of the three 1M-context models on the platform — about an eighth of /zerogpu-router:chat-glm on input and a sixth on output, and roughly half again as much as /zerogpu-router:chat-glm-5-3-flash on both. Prefer it when the task wants V4.1's higher-effort reasoning or function calling; for ordinary coding and agentic work at the same context size, chat-glm-5-3-flash is cheaper.
Output is the assistant's answer as plain text — the model's reasoning trace comes back in a separate field and is not printed. 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
-
59e0f53
Current 2026-09-27 19:55
价格调整：输入成本降至约八分之一，输出成本降至约六分之一；新增与 chat-glm-5-3-flash 的性能对比建议。
- 4e1b070 2026-09-22 08:06
