Listed together in guide “AI platforms and infrastructure”
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.
Editorial suggestion · cites a checked fact
Desktop application for discovering, downloading, and running open large language models locally.
Freemium
Use cases
- Running chat models fully offline for privacy
- Local development against an OpenAI-style endpoint
- Benchmarking open models on personal hardware
Pricing: Checked 2026-11-02: Free covers local models and Bionic Agent. Bionic+ is USD 20/month and Pro USD 100/month for optional cloud usage allowances; cloud credits cover use beyond the included allowance. These paid individual tiers are available now; the page separately says team subscription plans are coming soon.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-11-02.
Listed together in guide “AI platforms and infrastructure”
Open-source tool for running open large language models locally on your own machine with a simple command-line interface.
Open (open weights/source) MIT
Use cases
- Private, offline AI chat and coding assistance
- Local development against an LLM API without cloud costs
- Experimenting with and comparing open models
Pricing: Ollama is free and open source; optional hosted services are offered separately.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-10.
Listed together in guide “AI platforms and infrastructure”
Open-source inference and serving engine for large language models, known for high-throughput PagedAttention.
Open (open weights/source) Apache-2.0
Use cases
- Serving open LLMs in production at high throughput
- Self-hosting an OpenAI-compatible inference endpoint
- Benchmarking and research on efficient LLM inference
Pricing: vLLM is free and open source under Apache-2.0; costs are limited to the GPU infrastructure it runs on.
Documentation ↗ · Sources
This record was last reviewed on 2026-10-10.
Related: shares the task Running models yourself
German AI company that builds sovereign large language models and enterprise AI platforms for industry, public-sector, and defense customers.
Paid
Use cases
- Public-sector and defense applications that require data to stay in Europe
- Enterprise assistants in industry, administration, and science
- Research collaborations on transparent language models
Pricing: Aleph Alpha sells to organizations rather than consumers and does not publish list prices; commercial terms are arranged directly with enterprise and public-sector customers.
Documentation ↗ · Sources
This record was last reviewed on 2026-09-10.
Related: shares the task Running models yourself
Managed AWS service for building applications with foundation models from multiple providers via one API.
Paid
Use cases
- Enterprise apps that need a choice of models under one API
- RAG systems grounded in private company data
- Regulated workloads requiring AWS data controls
Pricing: Pricing is usage-based per input/output token, with on-demand and provisioned-throughput options.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself
AWS portfolio of Amazon-built foundation models and services for text, multimodal, speech, custom model building, and UI-automating agents.
Paid
Use cases
- Cost-sensitive chat, summarization, and multimodal analysis on AWS
- Building a custom frontier model with Nova Forge
- Automating production UI workflows with Nova Act agents
Pricing: Amazon Nova is billed through AWS, typically via Amazon Bedrock, with usage-based pricing that varies by model and service.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-09-04.
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.