Skip to content
← Models
Open weightsBaidu/10 trustVerified

ERNIE-4.5-21B-A3B

Baidu's open-weight MoE flagship from the June 2025 ERNIE 4.5 release: 21B total parameters, only 3B active, Apache 2.0.

Visit official page →

About

ERNIE-4.5-21B-A3B is the lightweight mixture-of-experts model Baidu open-sourced on June 30, 2025, as part of a ten-model ERNIE 4.5 release that marked Baidu's biggest open-weights push to date. It totals 21 billion parameters but activates only 3 billion per token, and Baidu reported that the base model beats Qwen3-30B-A3B-Base on multiple math and reasoning benchmarks despite having roughly 30% fewer parameters. The weights shipped under Apache 2.0, with training done on Baidu's PaddlePaddle framework using techniques like router orthogonalization loss and FP8 mixed-precision training.

Baidu followed it with a thinking variant (ERNIE-4.5-21B-A3B-Thinking, September 2025) tuned for deep reasoning with tool use and a 128K context window, and later with ERNIE 5.0. The base model remains a solid pick for teams that want a genuinely permissive Apache 2.0 MoE in the 20B class without the custom-license strings attached to most Chinese open weights. Treat Baidu's benchmark comparisons as vendor-reported — no independent replication of the base model's scores was found.

Specs

Context window

128,000 tokens (per Baidu's ERNIE 4.5 series spec)

Pricing

Free / open weights (Apache 2.0); hosted API via Baidu Qianfan

Free quota

Weights free for research and commercial use under Apache 2.0

API access

Hugging Face (Baidu org); Baidu Qianfan API; self-hosted

Weights

Open weights

Released

Not disclosed

Benchmarks

  • Baidu-reported: ERNIE-4.5-21B-A3B-Base outperforms Qwen3-30B-A3B-Base on multiple mathematics and reasoning benchmarks (provider claim, ERNIE 4.5 technical report)
  • No independent benchmark table verified for the base weights; treat vendor comparisons as provider-reported

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

open-weight-llmchinese-llmreasoningedge-inferenceenterprise-nlp

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Baidu's official ERNIE blog announced the open-source ERNIE 4.5 family on Jun 30, 2025; MoE 21B total / 3B active under Apache 2.0; release covered by VentureBeat, MarkTechPost, and Baidu's own PR. Open weights. Strengths: genuinely permissive Apache 2.0 license (rare among Chinese frontier labs), efficient MoE design, active follow-through (Thinking variant Sep 2025, ERNIE 5.0 later). Docked for: (1) headline benchmark claims are Baidu-run with no independent replication found; (2) training data undisclosed. License: Apache-2.0.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
8.0/10
Maintenance · recency, releases, issue load
8.0/10
Openness · license + docs
8.0/10
Manual review · sanity read + red-flag check
8.0/10
  • · Baidu's official ERNIE blog announced the open-source ERNIE 4.5 family on 2025-06-30 (10 models, incl. 21B-A3B)
  • · MoE: 21B total parameters, 3B active per token; 128K context per Baidu's ERNIE 4.5 series spec
  • · Baidu-reported: 21B-A3B-Base outperforms Qwen3-30B-A3B-Base on math/reasoning benchmarks (provider claim)
  • · Follow-through: Thinking variant Sep 2025, ERNIE 5.0 later

Sources