Baidu's multimodal Chinese foundation model integrating text, vision, and audio comprehension with deep Chinese cultural knowledge.
Technical Specifications
- Provider
- Baidu
- Category
- flagship
- Release Date
- 2025-03
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- API Pay-as-you-go
- Reasoning Effort Control
- Fixed
- 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-4-5
- Supported SDK & API Protocol
- Baidu REST API (OpenAI-Compatible)
- Lifecycle & Deprecation Status
- Active GA (Guaranteed support through 2027+)
- 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 ($0.6/1M in) across full 128K window
- Prompt Cache Write & TTL Policy
- Cached input at $0.06/1M tokens
- Computer Use & Browser GUI Agent
- API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
- 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)
- 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 4.5 Cost, Context, Hardware & API Integration
For single-user chat, a $20/mo subscription caps your bill below this API volume.
Break-even point: ~179 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 4.5:
Benchmark Scores & 6-Axis Capability Radar
- GPQA Diamond
- 60%
- MMLU-Pro
- 78.5%
- HumanEval
- 86%
- Chatbot Arena Elo
- 1325pts
Strengths
- State-of-the-art Chinese language understanding and cultural knowledge nuance
- Multimodal ingestion handling text, audio recordings, and visual imagery
- Seamless integration with Baidu Qianfan enterprise AI platform
Limitations & Trade-offs
- English performance lags behind top American frontier models
- Context window limited to 128K tokens
Editorial Assessment
Baidu's reliable commercial flagship for the Chinese domestic software ecosystem.
Best for: Chinese enterprise applications, local compliance and legal review, and multimodal knowledge search
Compare ERNIE 4.5
Frequently Asked Questions about ERNIE 4.5
How much does the ERNIE 4.5 API cost per 1M tokens?+
ERNIE 4.5 by Baidu is priced at $0.6 per 1M input tokens and $2.4 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.06 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the ERNIE 4.5 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 4.5's context window?+
ERNIE 4.5 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 8,192 tokens.
Can I run ERNIE 4.5 locally on my own GPU (Open Weights)?+
No, ERNIE 4.5 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 4.5 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 4.5 perform on coding and reasoning benchmarks?+
ERNIE 4.5 achieves a composite Intelligence Index of 81/100, scoring N/A% on SWE-bench Verified, 60% on GPQA Diamond, 78.5% on MMLU-Pro, and 1325 pts on Chatbot Arena Elo.
What is ERNIE 4.5 best used for?+
ERNIE 4.5 is best suited for: Chinese enterprise applications, local compliance and legal review, and multimodal knowledge search. Assessment: Baidu's reliable commercial flagship for the Chinese domestic software ecosystem.
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 4.5:
The basic unit of text that a language model processes, typically representing about 3 to 4 English characters or roughly 0.75 words. For example, the sentence "Artificial intelligence is fast" breaks down into about 5 tokens.
A standardized evaluation suite used to objectively measure and rank an AI model's capabilities across specific tasks — such as SWE-bench Verified for software engineering, AIME for competitive math, or MMLU for general knowledge.
The maximum number of tokens a model can consider at once — both the input it reads and the output it writes. A 1,000,000-token context window can hold roughly 750,000 English words in a single request.
An AI model trained via reinforcement learning to spend dynamic compute thinking through complex logic, math, and architectural problems before outputting a solution. Examples include OpenAI o1, o3, and DeepSeek R1.
A step-by-step reasoning technique where an AI model generates intermediate problem-solving thoughts before arriving at a final answer. Native reasoning models like OpenAI o3 and DeepSeek R1 use CoT to solve complex math and coding challenges.
The ability of a language model to recognize when an external capability is needed and output structured JSON arguments to invoke external APIs, databases, or terminal commands. The runtime executes the tool and passes results back to the model.
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.