GLM-5.2 vs DeepSeek V4 Pro
A source-verified deployment comparison of GLM-5.2 vs DeepSeek V4 Pro.
Values without a defensible common measurement basis are shown as not directly comparable.
Cross-domain comparison: only shared, source-backed fields are shown.
Source-verified deployment comparison. The comparison separates architecture, resident weights, active parameters, context, license, checkpoint precision, runtime support and compatible hardware. It does not manufacture a universal winner.
| Field | GLM-5.2 | DeepSeek V4 Pro 0813 |
|---|---|---|
| Provider / family | GLM | DeepSeek |
| Track | General | General |
| Generation | GLM-5.2 | DeepSeek V4 |
| Release date | 2026-06-16 | 2026-08-13 |
| Architecture | GlmMoeDsaForCausalLM | DeepseekV4ForCausalLM |
| Dense / MoE | MoE | MoE |
| Total parameters | 744.0B | 1,650.5B |
| Active parameters | 40.0B | 49.0B |
| Modalities | Text | Text |
| Context window | 1,048,576 | 1,048,576 |
| License | mit | MIT License |
| Commercial classification | Commercial Use Allowed: The official license permits commercial use; its obligations still apply. | Commercial Use Allowed: The official license permits commercial use; its obligations still apply. |
| Checkpoint formats | safetensors | safetensors |
| Public quantizations | BF16, FP8 | Mixed FP4 / FP8 |
| Self-hosting status | Deployable with certified configuration | Deployable with certified configuration |
Overview
Source-verified facts: GLM-5.2: Z.ai / GLM / General / GLM-5.2 / 2026-06-16 · DeepSeek V4 Pro 0813: DeepSeek / DeepSeek / General / DeepSeek V4 / 2026-08-13
Architecture differences
Source-verified facts: GLM-5.2: GlmMoeDsaForCausalLM · DeepSeek V4 Pro 0813: DeepseekV4ForCausalLM
Parameters and active parameters
Source-verified facts: GLM-5.2: Total parameters: 744B / Active parameters: 40B MoE · DeepSeek V4 Pro 0813: Total parameters: 1650.5B / Active parameters: 49B MoE
Context window
Source-verified facts: GLM-5.2: 1,048,576 tokens · DeepSeek V4 Pro 0813: 1,048,576 tokens
Modalities
Source-verified facts: GLM-5.2: Text · DeepSeek V4 Pro 0813: Text
Runtime ecosystem
Source-verified facts: GLM-5.2: transformers, vllm >=0.23.0, sglang >=0.5.13.post1, ktransformers >=0.5.12 · DeepSeek V4 Pro 0813: transformers
Quantization options
Source-verified facts: GLM-5.2: BF16, FP8 · DeepSeek V4 Pro 0813: Mixed FP4 / FP8
VRAM and memory requirements
Source-verified facts: GLM-5.2: BF16 ~1,488.0 GB estimated weight memory, FP8 ~744.0 GB estimated weight memory · DeepSeek V4 Pro 0813: Mixed FP4 / FP8 ~1,237.9 GB estimated weight memory
Recommended GPU configurations
GPU sizing must use the exact checkpoint and precision. The release pages provide memory estimates and inventory-backed recommendations; technical compatibility is kept separate from rental availability.
Multi-GPU considerations
Large variants may require tensor parallelism or multiple nodes. Validate total resident weights, runtime support, interconnect, topology and headroom before choosing a GPU count.
License and commercial use
Source-verified facts: GLM-5.2: mit / Commercial Use Allowed / The official license permits commercial use; its obligations still apply. · DeepSeek V4 Pro 0813: MIT License / Commercial Use Allowed / The official license permits commercial use; its obligations still apply.
Coding, reasoning and relevant capabilities
Source-verified facts: GLM-5.2: Language / reasoning, Flagship · MoE, Text · DeepSeek V4 Pro 0813: Language and reasoning, Flagship · MoE, Text
Deployment complexity
Source-verified facts: GLM-5.2: 2 checkpoints / 8 runtimes / 2 precisions · DeepSeek V4 Pro 0813: 1 checkpoints / 1 runtimes / 1 precisions
Which workloads fit each model
Source-verified facts: GLM-5.2: Language / reasoning, General, Flagship · MoE · DeepSeek V4 Pro 0813: Language and reasoning, General, Flagship · MoE
Key trade-offs
Select by workload, verified runtime, precision, memory, license and operational constraints. This comparison does not assign a universal winner.
Official sources
How should these models be compared?
Select by workload, license, runtime support, memory requirement and deployment constraints.
Last verified: 2026-08-25