GLM-5.2 vs Qwen3.6 27B: Release Comparison
Comparison of the GLM-5.2 and Qwen3.6 27B releases: 2 and 2 models respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 4 models.
- For intelligence, GLM-5.2 scores highest: GLM-5.2 (max) at 34, against Qwen3.6 27B (Reasoning) at 22 for Qwen3.6 27B.
- For output speed, GLM-5.2 is fastest: GLM-5.2 (Non-reasoning) at 148 t/s, against Qwen3.6 27B (Non-reasoning) at 59 t/s for Qwen3.6 27B.
- For cost per task, Qwen3.6 27B is cheapest: Qwen3.6 27B (Reasoning) at $0.62, against GLM-5.2 (max) at $0.96 for GLM-5.2.
Releases compared
Intelligence
Artificial Analysis Intelligence Index
Intelligence Index vs. Cost per Intelligence Index Task
Cost
Cost per Intelligence Index Task
Speed & Latency
Output Speed
Capability Scores
Capability Indices
Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2, AA-Briefcase, Humanity's Last Exam, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better
Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2, AA-Briefcase, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better
Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2, AA-Briefcase, Humanity's Last Exam, AA-LCR v1.1, GDP.pdf, AutomationBench-AA · Higher is better
Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2, AA-Briefcase, MLCR-AA, Humanity's Last Exam, AutomationBench-AA · Higher is better
Incorporates 6 evaluations: AA-Omniscience, Humanity's Last Exam, CritPt, GDPval-AA v2, AA-Briefcase, Terminal-Bench 4.0 · Higher is better
Incorporates 5 evaluations: AA-Omniscience, Humanity's Last Exam, GDPval-AA v2, AA-Briefcase, AA-LCR v1.1 · Higher is better
Further details
Input modality | Output modality | Weights | Provider Benchmarks | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GLM-5.2 (max) |  Z AI | 34 | 34 | 31 | 35 | 33 | 37 | 46 | $0.96 | $0.9 | $1.40 | $4.40 | $0.26 | $1,559 | 64k | 51k | 178M | 71 | 8.22s | 36.45s | 43.50s | 847.99s | 753B 40B active at inference time | 1M | Jun 2026 | - | Yes | Supports: text | Supports: text |    +16 | |||
| GLM-5.2 (Non-reasoning) | Z AI | 22 | - | - | - | - | - | - | - | $0.9 | $1.40 | $4.40 | $0.26 | - | - | - | - | 148 | 1.76s | 1.76s | 5.15s | - | 753B 40B active at inference time | 1M | Jun 2026 | - | No | Supports: text | Supports: text |   +4 | |||
| Qwen3.6 27B (Reasoning) |  Alibaba | 22 | 22 | 18 | 24 | - | 24 | 32 | $0.62 | $0.9 | $0.60 | $3.60 | - | $1,145 | 32k | 19k | 164M | 57 | 3.66s | 103.74s | 112.56s | 505.04s | 27.8B | 262k | Apr 2026 | - | Yes | Supports: text, image, and video | Supports: text |   +2 | |||
| Qwen3.6 27B (Non-reasoning) | Alibaba | 20 | - | - | - | - | - | - | - | $0.9 | $0.60 | $3.60 | - | - | - | - | - | 59 | 3.65s | 3.65s | 12.14s | - | 27.8B | 262k | Apr 2026 | - | No | Supports: text, image, and video | Supports: text |  +2 | |||