ERNIE 4.5 Open Models (Baidu) vs Hunyuan (Tencent)

ERNIE 4.5 Open Models (Baidu) is free, with no paid plan attached. Hunyuan (Tencent) is free, with no paid plan attached. Both are listed under Notable Open Models, so this is a like-for-like comparison. Neither is ranked above the other — Flocci carries no sponsored placement.

ERNIE 4.5 Open Models (Baidu) vs Hunyuan (Tencent) — straight answers

ERNIE 4.5 Open Models (Baidu) vs Hunyuan (Tencent): what is the difference?

ERNIE 4.5 Open Models (Baidu) is free, with no paid plan attached and is listed for ERNIE-4.5 family including 21B-A3B Thinking and VL-424B-A47B multimodal MoE. Hunyuan (Tencent) is free, with no paid plan attached and is listed for open-weight Hunyuan Hy3 and Hy4-preview flagship text models. Both sit in Notable Open Models.

Is ERNIE 4.5 Open Models (Baidu) or Hunyuan (Tencent) cheaper to start with?

Neither — ERNIE 4.5 Open Models (Baidu) and Hunyuan (Tencent) are both free, so the choice comes down to capability rather than cost. Both entries list what they uniquely do above.

Which should I choose, ERNIE 4.5 Open Models (Baidu) or Hunyuan (Tencent)?

Choose ERNIE 4.5 Open Models (Baidu) if you need ERNIE-4.5 family including 21B-A3B Thinking and VL-424B-A47B multimodal MoE; choose Hunyuan (Tencent) if you need open-weight Hunyuan Hy3 and Hy4-preview flagship text models. Flocci AI Tools does not rank one above the other — it shows both feature sets side by side and lets the requirement decide.

ERNIE 4.5 Open Models (Baidu) compared with Hunyuan (Tencent): pricing tier, category, listed capabilities and links.
 ERNIE 4.5 Open Models (Baidu)Hunyuan (Tencent)
Pricing tierFreeFree
Free to startYesYes
CategoryAI Models & Local ExecutionAI Models & Local Execution
TypeNotable Open ModelsNotable Open Models
Listed capabilities
  • ERNIE-4.5 family including 21B-A3B Thinking and VL-424B-A47B multimodal MoE
  • ERNIE-Image and ERNIE-Image-Turbo 8B text-to-image models
  • Unlimited-OCR 3B document model (1.5M+ downloads)
  • Open-weight Hunyuan Hy3 and Hy4-preview flagship text models
  • Hunyuan3D line for fast image-to-3D generation
  • Hy-MT translation models covering dozens of language pairs
Tagsernie 4.5, baidu ernie open source, ernie 4.5 vl, ernie 4.5 thinking, ernie image, baidu hugging facetencent hunyuan, chinese open model, hunyuan3d, open weights, 3d generation, free, hy3, hy4, hunyuan hy4
Websitehuggingface.cohuggingface.co
Full pageERNIE 4.5 Open Models (Baidu) details →Hunyuan (Tencent) details →
AlternativesERNIE 4.5 Open Models (Baidu) alternatives →Hunyuan (Tencent) alternatives →

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DeepSeek Models

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  • DeepSeek V4-Pro and V4-Flash open-weight MoE models, MIT-licensed
  • Very long context with reasoning and non-reasoning modes
  • Successors to the V3 and R1 lines
  • Free weights plus free web chat

Falcon (TII)

Notable Open Models
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  • Falcon-H1 hybrid Transformer-Mamba family for efficient long-context inference
  • Falcon-H1R small reasoning model with strong math results for its size
  • Free commercial use under TII's Falcon license

MiniMax M2 (open weights)

Notable Open Models
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  • MiniMax's open-weight M-series: M3 multimodal MoE with very long context, plus M2.x agentic-coding checkpoints
  • Distinct from MiniMax's Hailuo video product
  • Free weights on Hugging Face
  • Open-weight Mistral Medium 3.5, Small 4 and Large 3 general models
  • Devstral for coding agents and Magistral for visible reasoning
  • Voxtral open-weights speech models for transcription and voice agents

OLMo (Ai2)

Notable Open Models
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  • Only major model family shipping full pretraining data (Dolma), code and intermediate checkpoints, not just weights
  • Olmo 3 ships Base, Think, and Instruct variants at 7B/32B
  • OlmoCore training framework and Open Instruct pipeline are also open source

Qwen (Alibaba)

Notable Open Models
free
  • Open Qwen3.x family from phone-sized to multi-trillion-parameter MoE, Apache 2.0
  • Qwen3.6 mid-size models suit agentic coding on one high-memory machine
  • Small Qwen3.5 sizes run on phones and laptops
  • Free weights on Hugging Face and ModelScope