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ERNIE 4.0 vs KAT-Coder-Pro V2

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 KAT-Coder-Pro V2.

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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Kuaishou

KAT-Coder-Pro V2

KAT-Coder-Pro V2 is the latest high-performance model in KwaiKAT’s KAT-Coder series, designed for complex enterprise-grade software engineering and SaaS integration. It builds on the agentic coding strengths of earlier versions,...

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Technical Specifications

SpecificationERNIE 4.0KAT-Coder-Pro V2
ProviderBaiduKuaishou
Context Window128,000 tokens256,000 tokens
Agent Suitability87/100N/A
Time to First Token (TTFT)380 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-302026-03-27

API Pricing Comparison

Input Price per Million Tokens

ERNIE 4.0

$1.20

KAT-Coder-Pro V2

$0.30

Output Price per Million Tokens

ERNIE 4.0

$2.40

KAT-Coder-Pro V2

$1.20

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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

  • Superior Chinese-language understanding — best-in-class for China-market applications
  • API requires Baidu Cloud account with Chinese phone verification

KAT-Coder-Pro V2 Quirks & Gotchas

No developer gotchas reported.