GLM-5.1-MXFP4-Mixed-CT-AutoRound: benchmark scores, price and ranking
GLM-5.1-MXFP4-Mixed-CT-AutoRound from INCModel3 ranks #119 of 743 LLMs on the LLMs Tiger aggregate benchmark score (51.5), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- INCModel3
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #119 of 743 (score 51.5)
Across the 1 benchmark where at least ten models are scored, GLM-5.1-MXFP4-Mixed-CT-AutoRound is in the top 10% on 0 and in the top half on 1.
GLM-5.1-MXFP4-Mixed-CT-AutoRound benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| GPQA Diamond | 86.2% | #69 of 275 | HuggingFace GPQA Diamond leaderboard | 2026-10-13 |
About GLM-5.1-MXFP4-Mixed-CT-AutoRound
GLM-5.1-MXFP4-Mixed-CT-AutoRound is an open-weight model that can run on your own hardware from INCModel3. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where GLM-5.1-MXFP4-Mixed-CT-AutoRound stands
On our aggregate score, GLM-5.1-MXFP4-Mixed-CT-AutoRound is #119 of 743 ranked models, in the top quarter. Its score is 51.5; the scale is centred on 50, so it sits 1.5 points above the typical model. That beats 84% of the ranked field.
GLM-5.1-MXFP4-Mixed-CT-AutoRound, benchmark by benchmark
GPQA Diamond puts GLM-5.1-MXFP4-Mixed-CT-AutoRound at 86.2%, #69 of 275. That beats 75% of the models tested, but 9.6 points short of GPT-6 Astra (max) (95.8%). The results either side are GLM-5.1 (86.2%) and GPT-5 (high) (86.2%). It covers expert-level science questions. The board median is 71.7%, so GLM-5.1-MXFP4-Mixed-CT-AutoRound is 14.5 points above it. Source: HuggingFace GPQA Diamond leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace GPQA Diamond leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
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Compare it on the live leaderboard → · How the aggregate score works