Zhipu AI

GLM-5

7.6/10

Strengths & weaknesses

100% of weight measured

Scored on GLM-5 · sources as of Sep 19, 2026

Reasoningw307.3
Rule B1,452 rating · Ranks 7 of 22 measured in Language Models · LMArena text arena, hard prompts (glm-5) · Sep 13, 2026
Accuracyw209.0
Rule A89.9% consistent · 89.9% ÷ 10 · Vectara hallucination leaderboard, factual consistency rate (zai-org/glm-5) · May 11, 2026
Writingw107.7
Rule B1,438 rating · Ranks 6 of 22 measured in Language Models · LMArena text arena, creative writing (glm-5) · Sep 13, 2026
Long contextw104.1
Rule B204,800 tokens · Ranks 11 of 17 measured in Language Models · OpenRouter, context window · Sep 19, 2026
Cost efficiencyw207.1
Rule B$0.93 per 1M tokens (blended) · Ranks 6 of 17 measured in Language Models · OpenRouter, blended price per token · Sep 19, 2026
Deployabilityw1010.0
Rule C5 of 5 items · 5 × 2 points · Deployability checklist (OpenRouter data) · Sep 19, 2026

w = weight, each criterion’s share of the overall score. Missing marks don’t count for or against. How scoring works

Enterprise fit

Where GLM-5 fits inside a company, ranked by the strength of published ROI evidence for each use case, then by its independent rating for the work.

01
Marketing, content & salesControlled trial
Marketing & sales
- ▸ Rated #6 of 22 directory models on LMArena text (creative writing), the closest independent rating for this work
- ▸ Built for this kind of work (Language Models)
02
Research, analysis & reportingControlled trial
Strategy, consulting, finance
- ▸ Rated #7 of 22 directory models on LMArena text (hard prompts), the closest independent rating for this work
- ▸ Built for this kind of work (Language Models)
03
Customer supportField study
Customer service
- ▸ Rated #6 of 22 directory models on LMArena text (overall), the closest independent rating for this work
- ▸ Built for this kind of work (Language Models)