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

GLM-4.5 Thinking benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
WeirdML40.6%#59 of 109Epoch AI Benchmarking Hub2026-10-14

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.

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