GLM-4.5 Thinking: benchmark scores, price and ranking
GLM-4.5 Thinking from Z.ai (Zhipu AI),Tsinghua University ranks #285 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.2), based on 1 benchmark results captured up to 2026-10-14.
- Organisation
- Z.ai (Zhipu AI),Tsinghua University
- Type
- Open-weight / local model
- Open weights
- Yes
- Cheapest API price
- $0.400 in / $1.60 out per million tokens (via deepinfra, observed 2026-10-14T22:47Z)
- Aggregate rank
- #285 of 743 (score 49.2)
Across the 1 benchmark where at least ten models are scored, GLM-4.5 Thinking is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.400 per million tokens, is lower than that of 53% of the 427 models with a listed price.
GLM-4.5 Thinking benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| WeirdML | 40.6% | #59 of 109 | Epoch AI Benchmarking Hub | 2026-10-14 |
About GLM-4.5 Thinking
GLM-4.5 Thinking is an open-weight model that can run on your own hardware from Z.ai (Zhipu AI),Tsinghua University. The cheapest API listing we track charges $0.400 per million input tokens and $1.60 per million output tokens, through deepinfra. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where GLM-4.5 Thinking stands
On our aggregate score, GLM-4.5 Thinking is #285 of 743 ranked models, around the middle of the table. Its score is 49.2; the scale is centred on 50, so it sits 0.8 points below the typical model. That beats 62% of the ranked field. Among the 4 ranked Z.ai (Zhipu AI),Tsinghua University models it is #1. The next one down is GLM-4.5-Air at 48.7.
GLM-4.5 Thinking, benchmark by benchmark
GLM-4.5 Thinking lands below the middle on WeirdML: 40.6%, #59 of 109, with 53% of the field scoring higher. GPT-6 Astra (max) leads at 93.3%; the closest result above is gpt-oss-20b (high) at 40.9%. It covers unusual machine-learning tasks. The board median is 41.2%, so GLM-4.5 Thinking is 0.6 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-14.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so GLM-4.5 Thinking costs less than the typical listing. Models that score within 1.5 points or better and cost less: DeepSeek V4.1 Flash (high) ($0.010, 49.7), Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4 Flash 0731 (max) ($0.016, 53.0). Similar scores cost more on mimo-v2.5-pro ($0.435) and Kimi K2.5 ($0.450).
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (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
- #282 qwq-plus (49.3)
- #283 gemini-2.5-flash-preview-05-20_16K (49.3)
- #284 Claude 3.5 Sonnet (49.2)
- #286 gpt-3.5-turbo-1106 (49.2)
- #287 computer-use-preview-2025-03-11 (49.2)
- #288 NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 (49.2)
More from Z.ai (Zhipu AI),Tsinghua University
- GLM-4.5-Air (#329, 48.7)
- glm-4.5 (#355, 48.4)
- GLM-4.6 (#616, 44.9)
Compare it on the live leaderboard → · How the aggregate score works