DeepSeek V3 vs GLM 5.2 (Comparative Analysis)
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Comparative Analysis: DeepSeek V3 vs. GLM 5.2
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Overview
DeepSeek V3 was released 1 year before GLM 5.2.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 163.8K tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16K tokens | 131.1K tokens |
Release Date When this model first became publicly available | December 26, 2024 1 year ago December 26th, 2024 | June 16, 2026 1 month ago June 16th, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | July 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3 | GLM 5.2 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Enabled by defaultEffort: Extra High, HighDefault: High |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
DeepSeek V3 is roughly 0.3x less expensive compared to GLM 5.2 for input tokens and roughly 0.4x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.20 per million tokens | $0.72 per million tokens |
Output Token Cost Cost per million output tokens | $0.80 per million tokens | $2.26 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.13 per million tokens |
Benchmarks
Compare relevant benchmarks between DeepSeek V3 and GLM 5.2.
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 51.1 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 68.8 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 43.1 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,145 Elo (#63 in 3D (50.7% win rate)) | 1,367 Elo (#3 in 3D (59.9% win rate)) |
At a Glance
Quick overview of what makes DeepSeek V3 and GLM 5.2 unique.
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