Listed together in guide “Open-source AI models”
Cohere's open-weight LLM family optimized for retrieval-augmented generation and tool use; succeeded by Command A as Cohere's flagship.
Open (open weights/source) CC-BY-NC-4.0
Use cases
- Enterprise RAG assistants grounded in company documents
- Building agents that call external tools and APIs
- Research on open-weight instruction-tuned models
Pricing: Model weights are free for non-commercial research under a CC-BY-NC license; commercial access is via Cohere's usage-priced API and enterprise deployments.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Listed together in guide “Open-source AI models”
Open-weight mixture-of-experts LLM released by Databricks in 2024; retired from Databricks serving in 2025, though the weights remain available.
Open (open weights/source) Databricks Open Model License
Use cases
- Research on mixture-of-experts model architectures
- Self-hosted LLM deployments on enterprise infrastructure
- Fine-tuning experiments on a large open base model
Pricing: DBRX weights are free to download under the Databricks Open Model License; running the model requires the user's own infrastructure, and Databricks no longer serves it as a hosted model.
Sources
This record was last reviewed on 2026-09-10.
Listed together in guide “Open-source AI models”
IBM's family of open-weight language models aimed at enterprise and code tasks.
Open (open weights/source) Apache-2.0
Use cases
- Enterprise assistants with permissive licensing requirements
- On-premises deployments where data control matters
- Fine-tuning small models for business workflows
Pricing: Granite weights are free under Apache 2.0; hosted inference through IBM watsonx or partner clouds is billed by usage.
Sources
This record was last reviewed on 2026-09-10.
Listed together in guide “Open-source AI models”
Open model family from AI21 Labs that combines Transformer and state-space (Mamba) architectures.
Open (open weights/source) Jamba Open Model License
Use cases
- Long-document analysis and summarization
- Enterprise RAG over large corpora
- Research on hybrid state-space architectures
Pricing: Jamba weights are downloadable under the Jamba Open Model License; managed access through AI21's platform and cloud marketplaces is billed per token.
Sources
This record was last reviewed on 2026-09-10.
Listed together in guide “Open-source AI models”
Family of open language models released by NVIDIA for enterprise and research use.
Open (open weights/source) NVIDIA Open Model License
Use cases
- Building agentic AI on open, commercially usable models
- Enterprise deployments on NVIDIA infrastructure
- Research using open post-training datasets
Pricing: Nemotron weights are free under NVIDIA's open model license; production deployment via NVIDIA NIM/AI Enterprise is licensed commercially.
Sources
This record was last reviewed on 2026-10-10.
Related: shares the task Running models yourself
Open-weight bilingual LLM family from Beijing-based Baichuan Intelligence, now focused on medical AI with its Baichuan-M reasoning models.
Open (open weights/source) Baichuan Community License
Use cases
- Building Chinese-language NLP applications on open weights
- Research on bilingual large language models
- Medical AI assistants based on the Baichuan-M series
Pricing: Open-weight Baichuan models are free to download for research, with licensing terms for commercial use; hosted APIs are billed by usage.
Sources
This record was last reviewed on 2026-09-10.
Related: shares the task Running models yourself
Open-weight LLM family and chat assistant from Hangzhou-based DeepSeek, known for strong reasoning models.
Open (open weights/source) MIT (DeepSeek-V3 repository code); DeepSeek Model License (DeepSeek-V3 Base and Chat weights)
Use cases
- Math, coding, and analytical tasks that need explicit reasoning
- Self-hosting open-weight models for privacy or cost control
- Cost-sensitive API integrations
Pricing: The chat assistant is free; the developer API is usage-priced, and open-weight models can be self-hosted without license fees.
Pricing ↗ · Sources
This record was last reviewed on 2026-10-13.
Related: shares the task Running models yourself
Google's family of lightweight open-weight models derived from the same research as Gemini, currently in the Gemma 4 generation.
Open (open weights/source) Gemma Terms of Use
Use cases
- Running capable models locally on consumer hardware
- On-device and edge AI applications
- Fine-tuning small models for focused tasks
Pricing: Gemma weights are free to download under the Gemma license; hosted inference is available through Google and third parties at usage prices.
Sources
This record was last reviewed on 2026-09-10.