GLM 4.6 vs Qwen2.5 Coder 32B Instruct (Comparative Analysis)
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Comparative Analysis: GLM 4.6 vs. Qwen2.5 Coder 32B Instruct
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Overview
Qwen2.5 Coder 32B Instruct was released 10 months before GLM 4.6.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 204.8K tokens | 32.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | 32.8K tokens |
Release Date When this model first became publicly available | September 30, 2025 10 months ago September 30th, 2025 | November 11, 2024 1 year ago November 11th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2025 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GLM 4.6 | Qwen2.5 Coder 32B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Qwen |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | Function CallingStructured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
GLM 4.6 is roughly 0.8x less expensive compared to Qwen2.5 Coder 32B Instruct for input tokens and roughly 2.0x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.50 per million tokens | $0.66 per million tokens |
Output Token Cost Cost per million output tokens | $2.00 per million tokens | $1.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.10 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GLM 4.6 and Qwen2.5 Coder 32B Instruct.
Intelligence Index Overall model quality across independent evaluations | 28.7 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 45.8 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 17.7 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,207 Elo (#44 in Game Dev (54.6% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GLM 4.6 and Qwen2.5 Coder 32B Instruct unique.
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Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
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Content creation and marketing tasks
💻Technology
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🔬Science
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