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ERNIE 4.0 vs Mixtral 8x22B

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 Mixtral 8x22B.

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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Mistral

Mixtral 8x22B

Mixtral 8x22B is Mistral AI's open-weight Mixture-of-Experts model, activating only 39B of its 141B total parameters per token to deliver frontier-level performance at inference costs comparable to a much smaller dense model. Released under the Apache 2.0 license, Mixtral 8x22B is one of the most capable fully open-weight models available, with strong multilingual performance, robust coding ability, and efficient fine-tuning via LoRA. It is widely deployed across self-hosted infrastructure, including Ollama, vLLM, and Hugging Face TGI.

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Technical Specifications

SpecificationERNIE 4.0Mixtral 8x22B
ProviderBaiduMistral
Context Window128,000 tokens65,536 tokens
Agent Suitability87/10087/100
Time to First Token (TTFT)380 ms320 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-302024-12-11

API Pricing Comparison

Input Price per Million Tokens

ERNIE 4.0

$1.20

Mixtral 8x22B

$0.50

Output Price per Million Tokens

ERNIE 4.0

$2.40

Mixtral 8x22B

$1.00

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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

Mixtral 8x22B Quirks & Gotchas

  • β–ΈMoE architecture β€” efficient inference for its capability tier
  • β–ΈRequires ~90GB VRAM at FP16 β€” 4-bit quantization recommended for single-GPU deployment