Model Comparison

ERNIE 5.0 vs Llama 4 Maverick

ERNIE 5.0 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

ERNIE 5.0 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Llama 4 Maverick is better at 0 benchmarks.

ERNIE 5.0 significantly outperforms across most benchmarks.

Thu Apr 16 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
Thu Apr 16 2026 • llm-stats.com
Baidu
ERNIE 5.0
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
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Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

Baidu
ERNIE 5.0
Input- tokens
Output- tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both ERNIE 5.0 and Llama 4 Maverick support multimodal inputs.

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

ERNIE 5.0

Text
Images
Audio
Video

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 5.0 is licensed under a proprietary license, while Llama 4 Maverick uses Llama 4 Community License Agreement.

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

ERNIE 5.0

Proprietary

Closed source

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

ERNIE 5.0 was released on 2025-01-22, while Llama 4 Maverick was released on 2025-04-05.

Llama 4 Maverick is 2 months newer than ERNIE 5.0.

ERNIE 5.0

Jan 22, 2025

1.2 years ago

Llama 4 Maverick

Apr 5, 2025

1.0 years ago

2mo 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 GPQA score (85.0% vs 69.8%)
Higher MMLU-Pro score (87.0% vs 80.5%)
Larger context window (1,000,000 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 5.0
Meta
Llama 4 Maverick

FAQ

Common questions about ERNIE 5.0 vs Llama 4 Maverick

ERNIE 5.0 significantly outperforms across most benchmarks. ERNIE 5.0 is made by Baidu and Llama 4 Maverick is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
ERNIE 5.0 scores AIME 2025: 87.0%, MMLU-Pro: 87.0%, GPQA: 85.0%, SimpleQA: 75.0%, Humanity's Last Exam: 39.0%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.
ERNIE 5.0 supports an unknown number of tokens and Llama 4 Maverick supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
ERNIE 5.0 is developed by Baidu and Llama 4 Maverick is developed by Meta.