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ERNIE 4.5 300B A47B

ERNIE 4.5 300B A47B is Baidu's flagship open-weight entry in the ERNIE 4.5 series, built on a heterogeneous Mixture-of-Experts architecture that totals around 300 billion parameters while activating roughly 47 billion per token. According to its OpenRouter listing, the model is fine-tuned for language-only tasks and uses advanced routing along with FP8 and 2-bit quantization strategies to keep inference efficient at that scale. The full pretrained checkpoint is published on Hugging Face under baidu/ERNIE-4.5-300B-A47B-PT, giving researchers and developers direct access to the weights rather than relying solely on hosted endpoints.

In practice, the model is positioned for high-throughput general-purpose applications that demand strong reasoning alongside long-context handling. OpenRouter describes support for English and Chinese text generation, tool parameters, and extended contexts up to 131K tokens, with a reported release on June 30, 2025 and a knowledge cutoff in March 2025. AIHubMix's comparison page shows it priced at $0.32 per million input tokens and $1.28 per million output tokens through that aggregator, though rates vary across routing providers. The combination of sparse activation, open weights, and a very large context window makes it a flexible choice for multilingual assistants, long-document analysis, and tool-augmented workflows where both depth of reasoning and throughput matter.

Jiekou.AIbaidu/ernie-4.5-300b-a47b-paddleernie

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Provider
Jiekou.AI
Model key
baidu/ernie-4.5-300b-a47b-paddle
Release date
Jan 1, 2026
Last updated
Jan 1, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.28
Output token cost
$1.10

Limits

Output tokens
12,000 tokens
Context window
123,000 tokens

Latest news about ERNIE 4.5 300B A47B

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CoverageBenchmark

Artificial Analysis profiles ERNIE 4.5 300B A47B as an open-weights Baidu model released in June 2025, distributed under the Apache 2.0 license. The page documents the architecture as a Mixture-of-Experts design with 300B total parameters and 47B active parameters per token, a 131k-token context window, and text-in/tex The benchmark summary concludes that ERNIE 4.5 300B A47B is below average in intelligence and somewhat expensive compared with other open-weight non-reasoning models of similar size. The page also notes that a reasoning variant may exist alongside this non-reasoning configuration, and points to Hugging Face for the mod

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