What is the best free alternative to GLM (Z.ai)?
Llama (Meta) is the closest free alternative to GLM (Z.ai): same Notable Open Models sub-category, and it is free. Meta's flagship open-weight family (Llama 4)
Best free GLM (Z.ai) alternatives
Looking for a free alternative to GLM (Z.ai)? Here are 9 notable open models worth trying — 9 with a free tier. GLM (Z.ai) itself is free tier + paid.
| Tool | GLM (Z.ai) (you searched) | Llama (Meta) | Qwen (Alibaba) | DeepSeek Models |
|---|---|---|---|---|
| Pricing | freemium | free | free | free |
| Best for | GLM-4.5-Flash and GLM-4.7-Flash text models are free via API | Meta's flagship open-weight family (Llama 4) | State-of-the-art open MoE models (Qwen3.x) | Open V3-series and R1 reasoning models |
| Visit | Open ↗ | Open ↗ | Open ↗ | Open ↗ |
GLM (Z.ai) alternatives — straight answers
Are there free GLM (Z.ai) alternatives?
Yes — 9 of the 9 alternatives listed here are free or freemium: Llama (Meta), Qwen (Alibaba), DeepSeek Models, Gemma (Google), GPT-OSS (OpenAI). None of them are paid-only.
Is GLM (Z.ai) free?
GLM (Z.ai) is free tier + paid. There is a free tier you can work in, with paid plans above it.
How were these GLM (Z.ai) alternatives chosen?
They are the other tools in Notable Open Models, then the rest of AI Models & Local Execution, ordered free tiers first and capped at 9. There is no sponsorship and no paid placement in that ordering — only the pricing tier decides.
All GLM (Z.ai) alternatives
Browse Notable Open Models →Llama (Meta)
Notable Open Models
✦ WhyA GLM (Z.ai) 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
Qwen (Alibaba)
Notable Open Models
✦ WhyA GLM (Z.ai) alternative — State-of-the-art open MoE models (Qwen3.x).
- State-of-the-art open MoE models (Qwen3.x)
- Top-tier coding and multilingual skills
- Runs on a single high-RAM Mac
- Free open weights
DeepSeek Models
Notable Open Models
✦ WhyA GLM (Z.ai) alternative — Open V3-series and R1 reasoning models.
- Open V3-series and R1 reasoning models
- Efficient MoE, low-cost inference
- Strong math and code
- Free open weights
Gemma (Google)
Notable Open Models
✦ WhyA GLM (Z.ai) 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
GPT-OSS (OpenAI)
Notable Open Models
✦ WhyA GLM (Z.ai) alternative — OpenAI's open-weight reasoning models.
- OpenAI's open-weight reasoning models
- Run locally or self-host
- Configurable reasoning effort
- Free, permissive license
Pleias
Notable Open Models
✦ WhyA GLM (Z.ai) 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
Mistral Open Models (Magistral, Devstral, Voxtral)
Notable Open Models
✦ WhyA GLM (Z.ai) alternative — Devstral: open coding-agent model tuned for SWE-bench-style tasks.
- Devstral: open coding-agent model tuned for SWE-bench-style tasks
- Magistral: open reasoning model with visible chain-of-thought
- Voxtral: open-weights speech model for transcription and voice agents
IBM Granite
Notable Open Models
✦ WhyA GLM (Z.ai) 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
OLMo (Ai2)
Notable Open Models
✦ WhyA GLM (Z.ai) 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