Model Comparison

ERNIE 5.0 vs Llama 4 Scout

ERNIE 5.0 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

ERNIE 5.0 significantly outperforms across most benchmarks.

Wed Apr 15 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
Wed Apr 15 2026 • llm-stats.com
Baidu
ERNIE 5.0
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

Baidu
ERNIE 5.0
Input- tokens
Output- tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both ERNIE 5.0 and Llama 4 Scout 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 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 5.0 is licensed under a proprietary license, while Llama 4 Scout 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 Scout

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 Scout was released on 2025-04-05.

Llama 4 Scout is 2 months newer than ERNIE 5.0.

ERNIE 5.0

Jan 22, 2025

1.2 years ago

Llama 4 Scout

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

Baidu
Higher GPQA score (85.0% vs 57.2%)
Higher MMLU-Pro score (87.0% vs 74.3%)
Meta
Larger context window (10,000,000 tokens)
Has open weights

Detailed Comparison

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

FAQ

Common questions about ERNIE 5.0 vs Llama 4 Scout

ERNIE 5.0 significantly outperforms across most benchmarks. ERNIE 5.0 is made by Baidu and Llama 4 Scout 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 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.
ERNIE 5.0 supports an unknown number of tokens and Llama 4 Scout supports 10.0M 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 Scout is developed by Meta.