Best free ERNIE 4.5 Open Models (Baidu) alternatives

✦ WhyA ERNIE 4.5 Open Models (Baidu) alternative — Meta's flagship open-weight family (Llama 4).

• Meta's flagship open-weight family (Llama 4)
• Multimodal and long-context variants
• Run locally or via any host
• Free, permissive license

✦ WhyA ERNIE 4.5 Open Models (Baidu) alternative — Open Qwen3.x family from phone-sized to multi-trillion-parameter MoE, Apache 2.0.

• 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

✦ WhyA ERNIE 4.5 Open Models (Baidu) alternative — DeepSeek V4-Pro and V4-Flash open-weight MoE models, MIT-licensed.

• 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

✦ WhyA ERNIE 4.5 Open Models (Baidu) alternative — Google's lightweight open models (Gemma 4).

• Google's lightweight open models (Gemma 4)
• Runs in as little as 16GB RAM
• On-device and multimodal variants
• Free and open

✦ WhyA ERNIE 4.5 Open Models (Baidu) alternative — OpenAI's Apache-2.0 open-weight reasoning models (120B and 20B).

• OpenAI's Apache-2.0 open-weight reasoning models (120B and 20B)
• Run locally or self-host, with configurable reasoning effort
• Safeguard variants for policy-based content classification

✦ WhyA ERNIE 4.5 Open Models (Baidu) alternative — Fully open-weight, open-dataset small language models (350M-3B) explicitly built for EU AI Act compliance.

• Fully open-weight, open-dataset small language models (350M-3B) explicitly built for EU AI Act compliance
• Trained exclusively on the 2-trillion-token open Common Corpus, not scraped/licensed text
• Purpose-built RAG models (Pleias-RAG-350M/1B) with built-in citation tracking, Apache 2.0 licensed

✦ WhyA ERNIE 4.5 Open Models (Baidu) alternative — Open-weight Mistral Medium 3.5, Small 4 and Large 3 general models.

• 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

✦ WhyA ERNIE 4.5 Open Models (Baidu) alternative — Apache 2.0 licensed enterprise-grade model family.

• Apache 2.0 licensed enterprise-grade model family
• Hybrid Mamba/transformer architecture (Granite 4) for lower memory footprint
• Built-in focus on governance, provenance and enterprise compliance

✦ WhyA ERNIE 4.5 Open Models (Baidu) alternative — Only major model family shipping full pretraining data (Dolma), code and intermediate checkpoints, not just weights.

• 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