ERNIE-4.5-300B-A47B is a 300B parameter Mixture-of-Experts (MoE) language model developed by Baidu as part of the ERNIE 4.5 series. It activates 47B parameters per token and supports text generation in...
Tested on 3 benchmarks. Top scores: Artificial Analysis — Quality Index (15.0%), Artificial Analysis — Coding Index (14.5%), Artificial Analysis — Agentic Index (0.0%).
Artificial Analysis Quality Index. Composite quality score combining multiple benchmark results into a single metric.
Artificial Analysis Coding Index. Composite coding quality score from multiple code benchmarks.
Artificial Analysis Agentic Index. Composite score measuring agent capability across tool use and planning tasks.
- Typetext
- Context123K tokens (~62 books)
- ReleasedJun 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.002
Frequently Asked Questions
Related Models
Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba QwenKey facts · as of 2026-05-03
- ERNIE 4.5 300B A47B by baidu. Not enough public benchmark scores to rank yet.
- List price $0.28 input · $1.10 output per 1M tokens (as of 2026-05-03).
How to cite · data as of 2026-05-03
ERNIE 4.5 300B A47B · benchmarks, pricing and providers. BenchGecko, data as of 2026-05-03. https://benchgecko.ai/model/ernie-4-5-300b-a47b
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP