PipelineScore
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zhipu

GLM 4 Plus

Released 2024-08-29Context 131.072Kglm-4-plus
PipelineScore
76.0MAINLINE
Ranked #31 of 52 models · 40th percentileAn even spread: no standout, no liability (72 to 79 across all five categories). Best-fit profile: Agentic.

Category breakdown

Score per category, normalized 0–100 against the v1 anchor.

Code
73.6
Reason
76.8
Tool Use
78.2
RAG
79.2
Speed
72.2

Strengths

RAG79.2
Tool Use78.2
Reason76.8

Same model, different rigs

Every submission of GLM 4 Plus on the 0–100 scale. The spread is the point: where it runs changes what you get.

0255075100

Best 77.9 on lab-dgx-h100 · lowest 74.8 on m2-ultra-192gb · spread 3.1 pts across 4 runs. Hover a dot for its rig.

Sample tasks

A taste of what the test pack measures. Full prompts are private and rotated daily.

CodeDifficulty 1code-fib-1

Fibonacci function

Write a Python `fib(n)` returning the nth Fibonacci number, O(n).

ReasonDifficulty 1reason-math-1

Train meeting time

Two trains, opposite directions, given speeds and start times — when do they meet?

RAGDifficulty 2rag-extract-1

Extract metrics to JSON

From the context, extract net sales, operating margin, and free cash flow as a JSON object. Numbers only.

Tool UseDifficulty 2tool-schema-1

OpenAPI param selection

Given an OpenAPI schema with limit/offset/sort, fill JSON for 'next 50, recent first.'

RAGDifficulty 2rag-grounding-1

Refuses to fabricate

Context lacks the answer — does the model fabricate or correctly say it can't?

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