zerogpu/zerogpu-router/chat-glm-5-3-flash

Call glm-5.3-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 glm-5.3-flash <<'ZGPU_END_OF_INPUT'
$ARGUMENTS
ZGPU_END_OF_INPUT

At \$0.10 / \$0.35 per 1M input/output tokens this is the cheapest of the three 1M-context models on the platform — a third of /zerogpu-router:chat-deepseek-v4-1-flash on input and under a third on output, and a quarter of /zerogpu-router:chat-gpt-4-1-mini on input and under a quarter on output. Prefer it for coding and long-horizon agent work at repo scale; when the task wants DeepSeek's higher-effort reasoning, chat-deepseek-v4-1-flash is the pricier alternative.

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.