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ERNIE 4.0 vs Llama 3.1 405B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for ERNIE 4.0 and Llama 3.1 405B.

Baidu

ERNIE 4.0

ERNIE 4.0 (文心一言 4.0) is Baidu's most advanced large language model, representing the culmination of Baidu's decades of search and NLP expertise. Built on Baidu's proprietary knowledge-enhanced pre-training architecture, ERNIE 4.0 integrates deep understanding of Chinese language, culture, and domain-specific knowledge. It achieves GPT-4-class performance on comprehensive Chinese-language benchmarks spanning language understanding, reasoning, mathematics, and code generation. ERNIE 4.0 powers Baidu's Wenxin Yiyan consumer chatbot and is available via Baidu AI Cloud API for enterprise integrations.

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Meta

Llama 3.1 405B

Llama 3.1 405B is Meta's largest open-weight language model and one of the most capable openly available models in the world. With 405 billion parameters, it achieves performance competitive with GPT-4 and Claude Opus across benchmarks spanning general knowledge, mathematics, coding, and multilingual tasks. Llama 3.1 405B is released under Meta's custom commercial license, supporting broad use cases including deployment via major cloud providers (AWS, GCP, Azure) and self-hosted inference with multi-GPU configurations.

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Technical Specifications

SpecificationERNIE 4.0Llama 3.1 405B
ProviderBaiduMeta
Context Window128,000 tokens131,072 tokens
Agent Suitability87/10090/100
Time to First Token (TTFT)380 ms550 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-302024-07-23

API Pricing Comparison

Input Price per Million Tokens

ERNIE 4.0

$1.20

Llama 3.1 405B

$0.80

Output Price per Million Tokens

ERNIE 4.0

$2.40

Llama 3.1 405B

$0.80

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

ERNIE 4.0 Quirks & Gotchas

  • β–ΈSuperior Chinese-language understanding β€” best-in-class for China-market applications
  • β–ΈAPI requires Baidu Cloud account with Chinese phone verification

Llama 3.1 405B Quirks & Gotchas

  • β–ΈMassive model β€” requires 8Γ— A100 80GB for FP16 inference
  • β–ΈAvailable via Together AI, Fireworks, and Bedrock as managed API