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GLM-4.7-Flash Fumbles Plan-Mode Calls

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GLM-4.7-Flash Fumbles Plan-Mode Calls
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REDDIT · REDDIT// 1h agoBENCHMARK RESULT

GLM-4.7-Flash Fumbles Plan-Mode Calls

A community benchmark suggests GLM-4.7-Flash is decent at raw tool calling but inconsistent about when to ask clarifying questions. It scores respectably overall, yet its plan-mode behavior looks brittle enough to trip up agentic coding workflows.

// ANALYSIS

The score spread matters less than the behavior spread: this looks like a model that can use tools, but not one that reliably judges ambiguity.

  • It posts 69% on `plan_mode` and 75% combined, well behind the top entries in the same comparison
  • The reported failure mode cuts both ways: it under-clarifies when it should ask, and over-clarifies on trivial or already-answered inputs
  • That pattern points to weak ambiguity calibration, which is more damaging for coding agents than a simple benchmark miss
  • Its 90% `tool_calling` result says the plumbing is there; the real problem is decision quality around when to invoke it
  • For teams, this reads as a cheap workhorse for straightforward tool use, not a first-choice model for long-horizon agent loops
// TAGS
llmbenchmarktool-usereasoningcoding-agentglm-4.7-flash

DISCOVERED

1h ago

2026-05-07

PUBLISHED

2h ago

2026-05-07

RELEVANCE

8/ 10

AUTHOR

No_Run8812

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