ERNIE 4.5 21B A3B Thinking
ernie-4.5-21b-a3b-thinkingERNIE-4.5-21B-A3B-Thinking is Baidu's upgraded lightweight MoE model focused on deeper, higher-quality reasoning. It's tuned to perform strongly on logic, math, science, coding, text generation, and advanced academic benchmarks, delivering top-tier capability with efficient compute usage.
- Context
- 131.1K tokens
- Endpoint
Pricing
Quick Start
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from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="ernie-4.5-21b-a3b-thinking", messages=[ {"role": "user", "content": "Hello!"} ], max_tokens=1024, temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(# model="ernie-4.5-21b-a3b-thinking",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )Supported Parameters
API docsmodelmessagesmax_tokenstemperaturetop_pstreamtoolsreasoning_effortstream_optionsthinkingextra_bodyCursor IDE Model IDs
Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
Compare with Other Models
See how this model compares to others from the same provider.
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ERNIE X1 32K is a large language model designed with an extended 32K-token context window, enabling deeper understanding and reasoning over long documents and multi-turn interactions. It balances strong performance across general reasoning, comprehension, and instruction following, making it well suited for tasks that require handling extended contexts such as document analysis, summarization, and detailed multi-step workflows.
- Context
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- Input
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- Output
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ERNIE X1 32K Preview
ERNIE X1 32K is a large language model designed with an extended 32K-token context window, enabling deeper understanding and reasoning over long documents and multi-turn interactions. It balances strong performance across general reasoning, comprehension, and instruction following, making it well suited for tasks that require handling extended contexts such as document analysis, summarization, and detailed multi-step workflows.
- Context
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- Input
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- Output
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ERNIE 4.5 VL 28B A3B
This is a multimodal Mixture-of-Experts chat model with 28B total parameters and 3B active per token, designed for strong text and vision understanding. It uses modality-isolated expert routing for efficiency, supports a long 131K-token context window, and delivers high-throughput inference. Advanced post-training (SFT, DPO, UPO) and RLVR alignment further enhance cross-modal reasoning and generation quality.
- Context
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- Input
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- Output
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ERNIE X1 Turbo 32K
ERNIE X1 32K is a large language model designed with an extended 32K-token context window, enabling deeper understanding and reasoning over long documents and multi-turn interactions. It balances strong performance across general reasoning, comprehension, and instruction following, making it well suited for tasks that require handling extended contexts such as document analysis, summarization, and detailed multi-step workflows.
- Context
- 32K
- Input
- $0.75/M
- Output
- $3.00/M