GLM-4.7 vs Qwen3-Coder 480B A35B Instruct Comparison

Comparing GLM-4.7 and Qwen3-Coder 480B A35B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-4.7 outperforms in 3 benchmarks (SWE-bench Multilingual, SWE-Bench Verified, Terminal-Bench 2.0), while Qwen3-Coder 480B A35B Instruct is better at 0 benchmarks.

GLM-4.7 significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
Zhipu AI
GLM-4.7
Input tokens$0.60
Output tokens$2.20
Best providerFireworks
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

122.0B diff

Qwen3-Coder 480B A35B Instruct has 122.0B more parameters than GLM-4.7, making it 34.1% larger.

Zhipu AI
GLM-4.7
358.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
480.0Bparameters
358.0B
GLM-4.7
480.0B
Qwen3-Coder 480B A35B Instruct

Context Window

Maximum input and output token capacity

Only GLM-4.7 specifies input context (202,800 tokens). Only GLM-4.7 specifies output context (131,072 tokens).

Zhipu AI
GLM-4.7
Input202,800 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
Input- tokens
Output- tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.7 supports multimodal inputs, whereas Qwen3-Coder 480B A35B Instruct does not.

GLM-4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.7

Text
Images
Audio
Video

Qwen3-Coder 480B A35B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.7 is licensed under MIT, while Qwen3-Coder 480B A35B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-4.7

MIT

Open weights

Qwen3-Coder 480B A35B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.7 was released on 2025-12-22, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.

GLM-4.7 is 11 months newer than Qwen3-Coder 480B A35B Instruct.

GLM-4.7

Dec 22, 2025

2 months ago

10mo newer
Qwen3-Coder 480B A35B Instruct

Jan 31, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (202,800 tokens)
Supports multimodal inputs
Higher SWE-bench Multilingual score (66.7% vs 54.7%)
Higher SWE-Bench Verified score (73.8% vs 69.6%)
Higher Terminal-Bench 2.0 score (41.0% vs 37.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.7
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct