AI Model Timeline

Tracking the accelerating release frequency of frontier AI models.

ERNIE 5.1

Baidu·

LLMsflagshipcloud

Overview

MoE flagship derived from ERNIE 5.0 via 'multi-dimensional elastic pre-training' as an optimal sub-network. Parameter counts are estimates (~1/3 of 5.0's total, ~1/2 of 5.0's active params); Baidu has not published exact figures. Cloud-only via Baidu Qianfan, no Western public API. Multimodal (text/image/audio/video) inherited from 5.0. Baidu claims ~6% of comparable training cost — unverified by third parties. No standalone technical report published. Self-reported benchmarks; non-EU hosting.

Capabilities and innovations

Multimodal (text/image/audio/video)128k context windowMoE sub-network of ERNIE 5.0Cloud-only (Baidu Qianfan)Closed weightsMulti-Dimensional Elastic Pre-Training (sub-network extraction from ERNIE 5.0)~6% of comparable training cost (Baidu claim, unverified)

Benchmarks

No benchmark values are recorded for this model.

  • GPQA Diamond: not reported by the vendor
  • Humanity’s Last Exam (no tools): not reported by the vendor
  • SWE-bench Verified: not reported by the vendor
  • SWE-bench Pro: not reported by the vendor
  • MMLU: not reported by the vendor
  • MMLU-Pro: not reported by the vendor
  • Terminal-Bench 2.x: not reported by the vendor
  • MMMU-Pro: not reported by the vendor

API pricing

$0.59 per million input tokens, $2.65 per million output tokens (USD, provider list price, checked 2026-05-11)

Architecture and hardware

Parameters
800B total, 36B active per token (MoE)

Links

More from Baidu

Data curated by AI Model Timeline. See the methodology for admission criteria, benchmark eras and source priority.