ERNIE 5.0 vs GLM-4.7 Comparison

Comparing ERNIE 5.0 and GLM-4.7 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

ERNIE 5.0 outperforms in 1 benchmarks (MMLU-Pro), while GLM-4.7 is better at 3 benchmarks (AIME 2025, GPQA, Humanity's Last Exam).

GLM-4.7 shows notably better performance in the majority of 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
Baidu
ERNIE 5.0
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Zhipu AI
GLM-4.7
Input tokens$0.60
Output tokens$2.20
Best providerFireworks
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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).

Baidu
ERNIE 5.0
Input- tokens
Output- tokens
Zhipu AI
GLM-4.7
Input202,800 tokens
Output131,072 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both ERNIE 5.0 and GLM-4.7 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

ERNIE 5.0

Text
Images
Audio
Video

GLM-4.7

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 5.0 is licensed under a proprietary license, while GLM-4.7 uses MIT.

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

ERNIE 5.0

Proprietary

Closed source

GLM-4.7

MIT

Open weights

Release Timeline

When each model was launched

ERNIE 5.0 was released on 2025-01-22, while GLM-4.7 was released on 2025-12-22.

GLM-4.7 is 11 months newer than ERNIE 5.0.

ERNIE 5.0

Jan 22, 2025

1.1 years ago

GLM-4.7

Dec 22, 2025

2 months ago

11mo newer

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

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Key Takeaways

Higher MMLU-Pro score (87.0% vs 84.3%)
Larger context window (202,800 tokens)
Has open weights
Higher AIME 2025 score (95.7% vs 87.0%)
Higher GPQA score (85.7% vs 85.0%)
Higher Humanity's Last Exam score (42.8% vs 39.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 5.0
Zhipu AI
GLM-4.7