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.
 GLM 4.6 |  Qwen2.5 Coder 32B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Z.AI | Qwen |
Input Context Window Maximum input tokens this model can process at once | 202.8K tokens | 128K 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 9 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.
| GLM 4.6 | Qwen2.5 Coder 32B Instruct | |
|---|---|---|
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.
| GLM 4.6 | 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 | 1,209 Elo (#43 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.
GLM 4.6 by Z.AI can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 202.8K token context window. Reasonably priced at $0.50/M input and $2.00/M output tokens. Released September 30th, 2025.Qwen2.5 Coder 32B Instruct by Qwen is a text-based AI model. It can handle standard conversations with its 128K token context window. Reasonably priced at $0.66/M input and $1.00/M output tokens. Released November 11th, 2024.Explore More Comparisons
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Compare Qwen2.5 Coder 32B Instruct with:
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