GLM 5.2 vs GPT-3.5 Turbo 16k (Comparative Analysis)
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Comparative Analysis: GLM 5.2 vs. GPT-3.5 Turbo 16k
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Overview
GPT-3.5 Turbo 16k was released 2 years 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 | 1M tokens | 16.4K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | 4.1K tokens |
Release Date When this model first became publicly available | June 16, 2026 1 month ago June 16th, 2026 | August 28, 2023 2 years ago August 28th, 2023 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | September 30, 2021 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GLM 5.2 | GPT-3.5 Turbo 16k | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Enabled by defaultEffort: Extra High, HighDefault: High | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
GLM 5.2 is roughly 0.2x less expensive compared to GPT-3.5 Turbo 16k for input tokens and roughly 0.4x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.50 per million tokens | $3.00 per million tokens |
Output Token Cost Cost per million output tokens | $1.58 per million tokens | $4.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.09 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GLM 5.2 and GPT-3.5 Turbo 16k.
Intelligence Index Overall model quality across independent evaluations | 52.6 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 68.8 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 45.7 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,362 Elo (#5 in 3D (59.8% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GLM 5.2 and GPT-3.5 Turbo 16k unique.
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Compare GPT-3.5 Turbo 16k with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks