de Baidu 800-miles de millones parámetro omnimodal insignia mastering chino culture, classical literatura científica, y nativo 4-modality procesamiento.
Technical Specifications
- Provider
- Baidu
- Category
- flagship
- Release Date
- 2026-05
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- API Pay-as-you-go
- Reasoning Effort Control
- Configurable (Low / Med / High)
- Structured Outputs
- Yes
- Output Modalities
- text
- Official Documentation
- Visit Official Docs ↗
Data Privacy, Licensing & Deployment Governance
Official Provider Release Intelligence, API Quotas & Agentic Specs
- Official API Model ID (SDK String)
- ernie-5-0
- Supported SDK & API Protocol
- Baidu REST API (OpenAI-Compatible)
- Lifecycle & Deprecation Status
- Active GA (Guaranteed support through 2028+)
- Production Rate Limits (RPM & TPM)
- 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
- Long-Context Pricing Tier (>128K / >200K)
- Flat rate ($1.5/1M in) across full 128K window
- Prompt Cache Write & TTL Policy
- Cached input at $0.15/1M tokens
- Computer Use & Browser GUI Agent
- Supported (Screen coordinate grounding, browser & desktop GUI action loops)
- MCP & Parallel Tool Calling
- Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
- Web Search Grounding & Code Sandbox
- Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
- Fine-Tuning & Distillation Support
- API Prompt Engineering & RAG Distillation
- Multimodal Tokenization Billing
- Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
- Weights Precision & Quantization
- Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster)
- Minimum GPU VRAM Requirement
- Zero Local VRAM Required (100% Serverless Cloud API)
- Supported Inference Engines
- Managed Baidu Cloud API
- System Card & Safety Framework
- Baidu Production Safety & Alignment Verified
- Enterprise Compliance (SOC2 / HIPAA / ZDR)
- SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
ERNIE 5.0 Cost, Context, Hardware & API Integration
For single-user chat, a $20/mo subscription caps your bill below this API volume.
Break-even point: ~72 requests/day equals $20/month.
Same Monthly Workload Cost Across Popular Reference Models
Live Prompt Paste Tokenizer & Cost Counter
Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.
Hybrid Prompt Routing Cascade Simulator
Route routine queries to a fast lightweight model ($0.15/1M) and escalate only complex reasoning turns to ERNIE 5.0:
Benchmark Scores & 6-Axis Capability Radar
- SWE-bench Verified
- 60%
- GPQA Diamond
- 74.5%
- MMLU-Pro
- 86%
- HumanEval
- 94%
- Chatbot Arena Elo
- 1430pts
Strengths
- Unsurpassed mastery de chino cultural idioms, classical poetry, y legal history
- Comprehensive 4-modality comprensión including nativo video y audio ingesta
- alto 1430 LMSYS Arena rating placing ello among líder global systems
Limitations & Trade-offs
- limitado international desarrollador community y English documentation
- ventana de contexto remains 128K en comparación con millones-token competitors
Editorial Assessment
el definitivo benchmark para chino linguistic mastery, surpassing Western modelos en nativo cultural profundidad.
Best for: chino creativo arts, cultural education, national empresarial inteligencia, y multimedia QA
Compare ERNIE 5.0
Frequently Asked Questions about ERNIE 5.0
How much does the ERNIE 5.0 API cost per 1M tokens?+
ERNIE 5.0 by Baidu is priced at $1.5 per 1M input tokens and $6 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.15 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the ERNIE 5.0 pay-as-you-go API?+
A flat $20/month consumer subscription is predictable for daily interactive chat and manual coding. However, if you are building software, running automated workflows, or sending low-to-moderate volume with prompt caching enabled, the pay-as-you-go API is typically far more cost-effective and offers higher rate limits without manual UI caps.
How many words and pages fit in ERNIE 5.0's context window?+
ERNIE 5.0 features a 128K tokens context window, which equals approximately 96,000 English words or ~256 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 16,384 tokens.
Can I run ERNIE 5.0 locally on my own GPU (Open Weights)?+
No, ERNIE 5.0 is a proprietary closed-weights model hosted by Baidu. It cannot be downloaded for local GPU execution and must be accessed via Baidu's official API or cloud platform.
Does Baidu train on data sent to the ERNIE 5.0 API, and is commercial use allowed?+
API payloads are excluded from model training by default. License tier: Proprietary Commercial API (Baidu Terms). Full commercial ownership of generated outputs. Supported deployment channels include: Baidu Cloud API & Enterprise Endpoints.
How does ERNIE 5.0 perform on coding and reasoning benchmarks?+
ERNIE 5.0 achieves a composite Intelligence Index of 90/100, scoring 60% on SWE-bench Verified, 74.5% on GPQA Diamond, 86% on MMLU-Pro, and 1430 pts on Chatbot Arena Elo.
What is ERNIE 5.0 best used for?+
ERNIE 5.0 is best suited for: chino creativo arts, cultural education, national empresarial inteligencia, y multimedia QA. Assessment: el definitivo benchmark para chino linguistic mastery, surpassing Western modelos en nativo cultural profundidad.
Baidu Family Lineage, Routing Tiers & Upgrade Path
Step down to a lighter sibling for high-volume routing or step up to Baidu's flagship reasoning tier:
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to ERNIE 5.0:
La unidad básica de texto que procesa un modelo de lenguaje, que normalmente equivale a 3 o 4 caracteres o aproximadamente 0,75 palabras. Por ejemplo, una frase típica se divide en varios tokens.
Un conjunto estandarizado de pruebas para evaluar y comparar objetivamente las capacidades de distintos modelos de IA en tareas como programación (SWE-bench) o matemáticas avanzadas (AIME).
La cantidad máxima de tokens que un modelo puede considerar a la vez, incluyendo tanto la entrada que lee como la salida que genera. Una ventana de 1.000.000 de tokens puede procesar unas 750.000 palabras en una sola petición.
Un modelo de IA entrenado para invertir cómputo adicional en pensar y validar hipótesis lógicas antes de responder, diseñado para problemas complejos de ingeniería y matemáticas.
Una técnica de razonamiento paso a paso donde el modelo genera pensamientos intermedios antes de formular la respuesta final, mejorando radicalmente la resolución de problemas matemáticos y lógicos.
La capacidad de un modelo de detectar la necesidad de una función externa y emitir argumentos JSON estructurados para ejecutar API, búsquedas web o consultas a bases de datos.
Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.