Gemma 3n 4B vs GLM 5.2 (Comparative Analysis)
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Comparative Analysis: Gemma 3n 4B vs. GLM 5.2
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Overview
Gemma 3n 4B 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 | 32.8K tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 131.1K tokens |
Release Date When this model first became publicly available | May 20, 2025 1 year ago May 20th, 2025 | June 16, 2026 1 month ago June 16th, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Gemma 3n 4B | 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 | Other | 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
Gemma 3n 4B is roughly 0.09x less expensive compared to GLM 5.2 for input tokens and roughly 0.05x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.06 per million tokens | $0.70 per million tokens |
Output Token Cost Cost per million output tokens | $0.12 per million tokens | $2.20 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.13 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemma 3n 4B 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 | 3.2 (Artificial Analysis index; higher is better) | 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 | Benchmark not available. | 1,355 Elo (#3 in 3D (59.1% win rate)) |
At a Glance
Quick overview of what makes Gemma 3n 4B and GLM 5.2 unique.
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