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”
Family of open-weight large language models developed by the Technology Innovation Institute (TII).
Open (open weights/source) TII Falcon License
Use cases
- Self-hosted chatbots and text generation
- Research on large-scale open models
- Fine-tuning for domain-specific applications
Pricing: Falcon models are free to download and use commercially under permissive TII licenses; costs come only from the compute used to run them.
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, Questions over your own documents
Open-source platform for building LLM applications with visual agent workflows, RAG pipelines, and model management.
Open (open weights/source) Dify Open Source License (modified Apache-2.0)
Use cases
- Building internal AI assistants over company knowledge
- Prototyping and shipping agentic workflows without heavy coding
- Standardizing LLM app development across a team
Pricing: Self-hosting Dify is free under its open-source license; Dify Cloud offers a free sandbox and paid plans, with enterprise licensing for advanced needs.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-10.
Related: shares the task Running models yourself, Questions over your own documents
Open-source desktop app for running open language models locally as an offline ChatGPT alternative.
Open (open weights/source) Apache-2.0 (main; confirmed tags: Apache-2.0 at v0.5.18-rc1-beta and v0.6.0, AGPL-3.0 at v0.5.16 and v0.5.17; other versions not individually checked)
Use cases
- Private, offline AI chat on personal hardware
- Local development against an OpenAI-style API
- Experimenting with open models without a GPU cloud
Pricing: Jan is free and open source; users optionally pay third-party providers if they connect cloud models.
Documentation ↗ · Sources
This record was last reviewed on 2026-10-13.
Related: shares the task Running models yourself, Questions over your own documents
Korean AI company offering the Solar LLM family, document AI models, and an API platform for enterprise workflows.
Freemium
Use cases
- Automating document-heavy workflows such as invoices, claims, and contracts
- Building assistants and agents on an API-first LLM platform
- Running document AI in environments that require on-premises deployment
Pricing: Upstage meters API use by tokens or document pages and offers prepaid tiers (Explore, Build, Scale) that add credits and higher request limits; enterprise pricing is custom. Some features and models have free or beta access, including an education and public-interest program.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.