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ERNIE 4.0 vs Llama 3.1 8B

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 8B.

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 8B

Llama 3.1 8B is Meta's lightweight open-weight model from the Llama 3.1 generation, optimized for efficient deployment on consumer hardware and edge devices. Despite its compact 8-billion-parameter size, it delivers strong performance on instruction following, text summarization, and lightweight coding tasks. Lllama 3.1 8B is the most downloaded model in the Llama family and runs efficiently on laptops, single GPUs, and CPU via quantization β€” making it the default choice for on-device AI applications and local prototyping.

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Technical Specifications

SpecificationERNIE 4.0Llama 3.1 8B
ProviderBaiduMeta
Context Window128,000 tokens131,072 tokens
Agent Suitability87/10074/100
Time to First Token (TTFT)380 ms80 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 8B

$0.04

Output Price per Million Tokens

ERNIE 4.0

$2.40

Llama 3.1 8B

$0.04

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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 8B Quirks & Gotchas

  • β–ΈPerfect for CPU/edge deployment β€” runs on Raspberry Pi with quantization
  • β–ΈLimited tool calling vs larger models β€” best for simple classification and chat