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
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| LMArena Code Elo | 1,605 | #18 of 30 | LMArena | 2026-10-07 |
| LMArena Text Elo | 1,476 | #17 of 28 | LMArena | 2026-10-05 |
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
- #320 Gemini 2.0 Flash (Experimental) (48.8)
- #321 Phi-3-medium-4k-instruct (48.8)
- #322 Claude Code + Opus 4.8 (48.8)
- #324 Opus 4.5 (Thinking, 16K) (48.8)
- #325 gemini-2.5-flash-lite-preview-06-17_16K (48.7)
- #326 Qwen3-30B-A3B-Base (48.7)
More from Z.ai
- GLM-5.2 (high) (#109, 51.6)
- glm-5p1 (#115, 51.5)
- GLM-4.5-FP8 (#245, 49.6)
- glm-4p7 (#399, 47.9)
Compare it on the live leaderboard → · How the aggregate score works