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GLM 5.2

Z.ai·Released Jun 16, 2026Open weights

Updated Oct 9, 6:21 AM ET

Overall score
46.7
Rank #41 overall
Evidence
29 results
82% of scored kinds covered
Context window
1M tokens
From OpenRouter
API price, USD per 1M tokens
$0.06 / $4.20
Input / output · cached input $0.059

The score is on the board's scale (reference average 50, about 15 points per standard deviation), not a percentage.

By domain

Each domain is scored on the same scale as the overall score. Coverage is the share of the domain's kinds of evaluation with a result; it says how much evidence there is, not how good the model is.

Coding#39
50.1
7 results · 78% coverage
Research and reasoning#43
43.4
6 results · 63% coverage
Professional work#38
50.5
9 results · 89% coverage
Knowledge and accuracy#53
36.6
6 results · 100% coverage
Human preference
47.4
1 result · 100% coverage

Every result behind the score

The result as the evaluator publishes it, and the reading it gives on the board's scale. A hard evaluation can give a high reading for a modest result; results near 95% or 5% only say "at least" or "at most".

Coding

7 results · 50.1

Research and reasoning

6 results · 43.4

Professional work

9 results · 50.5

Knowledge and accuracy

6 results · 36.6

Human preference

1 result · 47.4
  • Arena Text
    LMArena · max effort
    1,475.2
    Reading 48.2

Shown, not scored

Composite indices, saturated or older evaluations, evaluations still being checked, and vision, writing and multilingual results. They do not move the score.

No result yet

Scored evaluations this model has not taken. A missing result neither adds nor subtracts.

  • Terminal-Bench 4.0 · Vals AI
  • Vibe Code Bench 1–100 · Vals AI
  • CyberBench Patch · Vals AI
  • MysteryMechanism · Vals AI
  • Terminal-Bench Science · Vals AI
  • ProofBench · Vals AI
  • Tax Agent Bench · Vals AI
How readings and scores are computed