glm-5p1: benchmark scores, price and ranking
glm-5p1 from Z.ai ranks #115 of 743 LLMs on the LLMs Tiger aggregate benchmark score (51.5), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Z.ai
- Type
- Open-weight / local model
- Open weights
- Yes
- Cheapest API price
- $1.40 in / $4.40 out per million tokens (via fireworks_ai, observed 2026-10-13T20:47Z)
- Aggregate rank
- #115 of 743 (score 51.5)
Across the 1 benchmark where at least ten models are scored, glm-5p1 is in the top 10% on 0 and in the top half on 1.
Its cheapest listed input price, $1.40 per million tokens, is lower than that of 26% of the 427 models with a listed price.
glm-5p1 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MCP Atlas | 75.6% | #5 of 14 | Scale Labs MCP Atlas leaderboard | 2026-10-13 |
About glm-5p1
glm-5p1 is an open-weight model that can run on your own hardware from Z.ai. The cheapest API listing we track charges $1.40 per million input tokens and $4.40 per million output tokens, through fireworks_ai. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where glm-5p1 stands
On our aggregate score, glm-5p1 is #115 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 85% of the ranked field. Among the 5 ranked Z.ai models it is #2. The next one up is GLM-5.2 (high) at 51.6. The next one down is GLM-4.5-FP8 at 49.6.
glm-5p1, benchmark by benchmark
MCP Atlas puts glm-5p1 at 75.6%, #5 of 14. That beats 64% of the models tested, but 6.6 points short of Muse Spark (82.2%). The results either side are Claude Opus 4.6 (max) (76.8%) and GPT-5.5 (xhigh) (75.3%). It covers tool use across 1,000 MCP tasks. The board median is 70.4%, so glm-5p1 is 5.2 points above it. Source: Scale Labs MCP Atlas leaderboard, captured 2026-10-13.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so glm-5p1 costs more than the typical listing. Models that score within 1.5 points or better and cost less: DeepSeek V4 Flash 0731 (max) ($0.016, 53.1), Qwen3.7 Flash ($0.030, 50.5), GLM-5.2 (high) ($0.060, 51.6). Similar scores cost more on gemini-3.5-flash-high ($1.50) and Qwen3.8 Max (0902) (xhigh) ($1.65).
Reading these numbers
The 1 score on this page comes from 1 source: Scale Labs MCP Atlas leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #112 Darwin-27B-Opus (51.5)
- #113 Muse Spark 1.2 (xhigh) (51.5)
- #114 NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 (51.5)
- #116 Ornith-1.5-9B (51.5)
- #117 NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4 (51.5)
- #118 GLM-5 (51.5)
More from Z.ai
- GLM-5.2 (high) (#109, 51.6)
- GLM-4.5-FP8 (#245, 49.6)
- glm-5.2-max (#323, 48.8)
- glm-4p7 (#399, 47.9)
Compare it on the live leaderboard → · How the aggregate score works