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ERNIE 4.5 VL 424B A47B 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 4.5 VL 424B A47B and Llama 3.1 8B.

Baidu

ERNIE 4.5 VL 424B A47B

ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baiduโ€™s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data...

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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 โ€” making it the default choice for on-device AI applications and local prototyping.

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Technical Specifications

SpecificationERNIE 4.5 VL 424B A47BLlama 3.1 8B
ProviderBaiduMeta
Context Window131,072 tokens131,072 tokens
Agent SuitabilityN/A74/100
Time to First Token (TTFT)N/A80 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-06-302024-07-23

API Pricing Comparison

Input Price per Million Tokens

ERNIE 4.5 VL 424B A47B

$0.42

Llama 3.1 8B

$0.04

Output Price per Million Tokens

ERNIE 4.5 VL 424B A47B

$1.25

Llama 3.1 8B

$0.04

Want to test both models live?

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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.

MMLUGeneral knowledge & multi-task understanding
8680.0%vsN/A
ERNIE 4.5 VL 424B A47B
Llama 3.1 8B
HumanEvalPython coding & logic synthesis
8200.0%vsN/A
ERNIE 4.5 VL 424B A47B
Llama 3.1 8B
MATHComplex mathematical problem solving
6520.0%vsN/A
ERNIE 4.5 VL 424B A47B
Llama 3.1 8B
GPQAGraduate-level expert reasoning
4500.0%vsN/A
ERNIE 4.5 VL 424B A47B
Llama 3.1 8B
HellaSwagCommonsense reasoning and inference
8650.0%vsN/A
ERNIE 4.5 VL 424B A47B
Llama 3.1 8B
MT-BenchMulti-turn conversation flow quality
895.0%vsN/A
ERNIE 4.5 VL 424B A47B
Llama 3.1 8B

ERNIE 4.5 VL 424B A47B Quirks & Gotchas

No developer gotchas reported.

Llama 3.1 8B Quirks & Gotchas

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