glm-5.2-max: benchmark scores, price and ranking

glm-5.2-max from Z.ai ranks #323 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.8), based on 2 benchmark results captured up to 2026-10-13.

Organisation
Z.ai
Type
Open-weight / local model
Open weights
Yes
Aggregate rank
#323 of 743 (score 48.8)

Across the 2 benchmarks where at least ten models are scored, glm-5.2-max is in the top 10% on 0 and in the top half on 0.

glm-5.2-max benchmark results

glm-5.2-max benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
LMArena Code Elo1,605#18 of 30LMArena2026-10-07
LMArena Text Elo1,476#17 of 28LMArena2026-10-05

About glm-5.2-max

glm-5.2-max is an open-weight model that can run on your own hardware from Z.ai. No API price is listed for it yet. We hold 2 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where glm-5.2-max stands

On our aggregate score, glm-5.2-max is #323 of 743 ranked models, around the middle of the table. Its score is 48.8; the scale is centred on 50, so it sits 1.2 points below the typical model. That beats 57% of the ranked field. Among the 5 ranked Z.ai models it is #4. The next one up is GLM-4.5-FP8 at 49.6. The next one down is glm-4p7 at 47.9.

glm-5.2-max, benchmark by benchmark

glm-5.2-max lands below the middle on LMArena Code Elo: 1,605, #18 of 30, with 57% of the field scoring higher. Claude Opus 5.5 (max) leads at 1,814; the closest result above is gpt-5.6-sol-xhigh (codex-harness) at 1,620. It covers crowd-voted coding answers. The board median is 1,622, so glm-5.2-max is 16 points below it. Source: LMArena, captured 2026-10-07.

glm-5.2-max lands below the middle on LMArena Text Elo: 1,476, #17 of 28, with 57% of the field scoring higher. gemini-4-argon-high leads at 1,525; the closest result above is GPT-6 Astra (max) at 1,477. It covers head-to-head chat preference (crowd votes). The board median is 1,478, so glm-5.2-max is 2 points below it. Source: LMArena, captured 2026-10-05.

Strengths and weaknesses

glm-5.2-max has too few results on boards with ten or more models to say where it is strong or weak. Treat any single score as a data point, not a verdict.

Reading these numbers

The 2 scores on this page come from 1 source: LMArena (2). No official leaderboard supplied any of them, so treat them as third-party measurements. With 2 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

More from Z.ai

Compare it on the live leaderboard → · How the aggregate score works