GetInfoUs
Head-to-Head Model Comparison

ERNIE 5.0 vs ERNIE 4.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial
Partilhar
Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
ERNIE 5.0 vs ERNIE 4.5: Benchmarks, Pricing & Speed Comparison

ERNIE 5.0 da Baidu e ERNIE 4.5 da Baidu são dois modelos de IA de destaque. O ERNIE 5.0 oferece uma janela de contexto de 128K tokens a $1.50/$6.00 por milhão de tokens, enquanto o ERNIE 4.5 oferece 128K tokens de contexto a $0.60/$2.40 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.

Comparação Direta (VS)

Troque e Compare Qualquer Modelo

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Profile
Profile
Multi-Model Arena Stack:
5-Model Matrix Workbench
Popular Matchups:
Baidu

ERNIE 5.0

Modelo Principal de Fronteira

O ERNIE 5.0 da Baidu é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 128K, velocidade de 70 tokens/s, índice de inteligência de 90/100 e tarif

Intelligence Index90 / 100
Input Token:

$1.50 / 1M

Output Token:

$6.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

60%

Baidu

ERNIE 4.5

Modelo Principal de Fronteira

O ERNIE 4.5 da Baidu é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 128K, velocidade de 75 tokens/s, índice de inteligência de 81/100 e tarif

Intelligence Index81 / 100
Input Token:

$0.60 / 1M

Output Token:

$2.40 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Principais Diferenças em Resumo

  • ERNIE 4.5 is 2.5x cheaper for API usage (input + output tokens combined).
  • ERNIE 4.5 is faster at 75 tok/s vs 70 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureERNIE 5.0ERNIE 4.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
9081
Provider
BaiduBaidu
Input Price
Cost per million input tokens
$1.50 / 1M$0.60 / 1M
Output Price
Cost per million output tokens
$6.00 / 1M$2.40 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$1.01 / 1M$0.40 / 1M
Context Window
Maximum input + output tokens
128K tokens~192 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
16K8K
Throughput Speed
Tokens generated per second
70 tok/s75 tok/s
SWE-bench Verified
Real-world software engineering
60%N/A
GPQA Diamond
Graduate-level reasoning
74.5%60%
Cached Input Price
Prompt caching discount per 1M tokens
$0.15 / 1M$0.06 / 1M

Quem vence em cada categoria?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
ERNIE 4.5
2.5x cheaper monthly runtime
Speed
ERNIE 4.5
+7% faster generation
Context
Tied
128K tokens window

Pontuações de Benchmarks Verificadas

Official evaluation metrics verified by independent third-party research labs.

ERNIE 5.0ERNIE 4.5
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

60%vsN/A
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

74.5%vs60%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

86%vs78.5%
LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1430ptsvs1325pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

70 tok/s vs75 tok/s

Latência e Tempo de Resposta

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better
ERNIE 5.00.58s
ERNIE 4.50.51s
Est. End-to-End Response (500 tokens)TTFT + generation time
ERNIE 5.07.72s
ERNIE 4.57.18s

Simulador Interativo de Custo de Tokens

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
ERNIE 5.0 Monthly API Bill
$7.88 / month
$1.5/1M in · $6/1M out
ERNIE 4.5 Monthly API Bill
$3.15 / month
$0.6/1M in · $2.4/1M out
ERNIE 4.5 saves approximately $4.72 / month (60%) under this workload.2.5x Savings

ERNIE 5.0 · Strengths & Key Advantages

  • Janela de contexto de 128K com limite máximo de saída de 16K tokens (SWE-bench Verified 60% · GPQA Diamond 74.5%)
  • Taxa de transferência rápida de 70 tokens/segundo com latência inicial (TTFT) de 580 ms
  • Economia de API competitiva ($1.5/$6 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
  • Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
  • Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

ERNIE 4.5 · Strengths & Key Advantages

  • Janela de contexto de 128K com limite máximo de saída de 8K tokens (GPQA Diamond 60% · MMLU-Pro 78.5%)
  • Taxa de transferência rápida de 75 tokens/segundo com latência inicial (TTFT) de 510 ms
  • Economia de API competitiva ($0.6/$2.4 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
  • Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
  • Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricERNIE 5.0ERNIE 4.5
Cost per Task
Estimated USD to finish one task
$0.32$0.16
Output Tokens / Task
Tokens generated per task
25K18K
Reasoning Tokens / Task
Thinking tokens burned per task
9K4K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

FeatureERNIE 5.0ERNIE 4.5
Official API Model ID (SDK)ernie-5-0ernie-4-5
API ProtocolBaidu REST API (OpenAI-Compatible)Baidu REST API (OpenAI-Compatible)
Release Date2026-052025-03
Knowledge CutoffFebruary 2026December 2024
ArchitectureColossus-Scale Omnimodal MoE TransformerMultimodal Foundation Knowledge Transformer
Parameters800B total (45B active MoE)Confidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($1.5/1M in) across full 128K windowFlat rate ($0.6/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.15/1M tokensCached input at $0.06/1M tokens
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)
Quantization & Min GPU VRAMCloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier ClassificationBaidu Production Safety & Alignment VerifiedBaidu Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, vision, audio, videotext, vision, audio
Output Modalitiestexttext

ERNIE 5.0 vs ERNIE 4.5: Respostas Rápidas (FAQ)

Which is more intelligent, ERNIE 5.0 or ERNIE 4.5?

ERNIE 5.0 is more intelligent. It scores 90 compared with 81 on the composite Intelligence Index.

Which model is faster?

ERNIE 4.5 is faster, generating 75 tokens per second compared with 70 tokens per second.

Which model is cheaper to run?

ERNIE 4.5 is cheaper at $0.40 per 1M tokens blended, compared with $1.01 (7:2:1 cache:input:output ratio).

Which model has lower latency?

ERNIE 4.5 has lower latency, with a time to first token of 0.51s compared with 0.58s.

Veredito

Tanto ERNIE 5.0 (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) quanto ERNIE 4.5 (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: ERNIE 5.0 lidera em inteligência geral e programação, ERNIE 4.5 oferece geração mais rápida e ERNIE 4.5 apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, ERNIE 5.0 ou ERNIE 4.5?+

Nas avaliações de inteligência e código, ERNIE 5.0 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, ERNIE 5.0 ou ERNIE 4.5?+

O ERNIE 5.0 custa $1.50 / $6.00 por 1M de tokens (entrada/saída) e o ERNIE 4.5 custa $0.60 / $2.40. No custo combinado, ERNIE 4.5 é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O ERNIE 5.0 suporta 128K tokens de contexto contra 128K tokens do ERNIE 4.5, enquanto ERNIE 4.5 entrega maior velocidade de geração.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Fontes oficiais: Documentação oficial de API da Baidu e Baidu e benchmarks independentes (2026).