Model Comparison

GLM-5 vs ERNIE 5.0

Comparing GLM-5 and ERNIE 5.0 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and ERNIE 5.0 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Baidu
ERNIE 5.0
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Baidu
ERNIE 5.0
Input- tokens
Output- tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

ERNIE 5.0 supports multimodal inputs, whereas GLM-5 does not.

ERNIE 5.0 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

ERNIE 5.0

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while ERNIE 5.0 uses a proprietary license.

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

GLM-5

MIT

Open weights

ERNIE 5.0

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while ERNIE 5.0 was released on 2026-01-22.

GLM-5 is 1 month newer than ERNIE 5.0.

GLM-5

Feb 11, 2026

2 months ago

2w newer
ERNIE 5.0

Jan 22, 2026

2 months 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

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Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Has open weights
Baidu
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Baidu
ERNIE 5.0

FAQ

Common questions about GLM-5 vs ERNIE 5.0

GLM-5 (Zhipu AI) and ERNIE 5.0 (Baidu) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. ERNIE 5.0 scores AIME 2025: 87.0%, MMLU-Pro: 87.0%, GPQA: 85.0%, SimpleQA: 75.0%, Humanity's Last Exam: 39.0%.
GLM-5 supports 200K tokens and ERNIE 5.0 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and ERNIE 5.0 is developed by Baidu.