GLM-5.2 vs DeepSeek V4 Pro 0424: Release Comparison
Comparison of the GLM-5.2 and DeepSeek V4 Pro 0424 releases: 2 and 3 models respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 5 models.
- For intelligence, GLM-5.2 scores highest: GLM-5.2 (max) at 34, against DeepSeek V4 Pro (Reasoning, Max Effort) at 31 for DeepSeek V4 Pro 0424.
- For output speed, GLM-5.2 is fastest: GLM-5.2 (Non-reasoning) at 147 t/s, against DeepSeek V4 Pro (Reasoning, High Effort) at 77 t/s for DeepSeek V4 Pro 0424.
- For cost per task, DeepSeek V4 Pro 0424 is cheapest: DeepSeek V4 Pro (Reasoning, Max Effort) at $0.12, against GLM-5.2 (max) at $0.96 for GLM-5.2.
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 v4.0 · 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 | 78 | 7.72s | 33.51s | 39.95s | 774.02s | 753B 40B active at inference time | 1M | Jun 2026 | - | Yes | Supports: text | Supports: text |    +16 | |||
| DeepSeek V4 Pro (Reasoning, Max Effort) |  DeepSeek | 31 | 35 | 40 | 34 | 33 | 32 | 38 | $0.12 | $0.2 | $0.435 | $0.87 | $0.0036 | $277 | 49k | 33k | 212M | 76 | 1.66s | 59.09s | 65.66s | 450.37s | 1.6T 49B active at inference time | 1M | Apr 2026 | - | Yes | Supports: text | Supports: text |   +6 | |||
| DeepSeek V4 Pro (Reasoning, High Effort) | DeepSeek | 30 | - | - | - | - | - | - | - | $0.2 | $0.435 | $0.87 | $0.0036 | - | - | - | - | 77 | 1.72s | 27.55s | 34.03s | - | 1.6T 49B active at inference time | 1M | Apr 2026 | - | Yes | Supports: text | Supports: text | +5 | |||
| GLM-5.2 (Non-reasoning) | Z AI | 22 | - | - | - | - | - | - | - | $0.9 | $1.40 | $4.40 | $0.26 | - | - | - | - | 147 | 1.62s | 1.62s | 5.03s | - | 753B 40B active at inference time | 1M | Jun 2026 | - | No | Supports: text | Supports: text |   +4 | |||
| DeepSeek V4 Pro (Non-reasoning) | DeepSeek | 21 | - | - | - | - | - | - | - | $0.2 | $0.435 | $0.87 | $0.0036 | - | - | - | - | 77 | 1.57s | 1.57s | 8.08s | - | 1.6T 49B active at inference time | 1M | Apr 2026 | - | No | Supports: text | Supports: text |  +2 | |||