Listed together in guide “AI platforms and infrastructure”
Community platform for sharing and discovering open image-generation models, LoRAs, and generated art.
Freemium
Use cases
- Finding fine-tuned models for specific art styles
- Publishing and versioning your own trained models
- Generating images without a local GPU
Pricing: Browsing and downloads are free; on-site generation and training consume Buzz credits, available through memberships or one-off purchases.
Sources
This record was last reviewed on 2026-09-10.
Listed together in guide “AI platforms and infrastructure”
Platform hosting machine learning models, datasets, and demo apps, centered on open-source AI.
Freemium
Use cases
- Discovering and downloading open models and datasets
- Sharing research artifacts and demos
- Deploying models via managed inference endpoints
Pricing: Public hosting and downloads are free; paid plans cover compute, inference endpoints, and enterprise features.
Documentation ↗ · Sources
This record was last reviewed on 2026-09-10.
Listed together in guide “AI platforms and infrastructure”
Unified API gateway that routes requests to 400+ large language models from many providers.
Paid
Use cases
- Comparing models without provider lock-in
- Adding fallbacks for reliability in production
- Accessing many models with a single integration
Pricing: OpenRouter uses pay-as-you-go pricing that passes through provider rates, with enterprise plans; several models can be used free, and zero-token responses are not charged.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Listed together in guide “AI platforms and infrastructure”
Platform from Quora providing access to multiple AI chatbots and models through a single interface.
Freemium
Use cases
- Comparing answers across multiple models
- Accessing several paid models under one subscription
- Building and sharing custom chatbots
Pricing: A free tier is available; the paid subscription grants monthly compute points usable across premium models.
Sources
This record was last reviewed on 2026-07-30.
Related: shares the task Running models yourself
Platform for deploying and serving machine-learning models as scalable APIs.
Paid
Use cases
- Serving custom and open models in production
- Low-latency inference APIs
- Scaling ML services reliably
Pricing: Dedicated GPU compute is billed per minute with no charge for idle time, model APIs are billed per million tokens, and new accounts come with credits.
Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself
AI compute company whose inference cloud serves open language models on wafer-scale hardware.
Freemium
Use cases
- Latency-sensitive applications needing fast tokens
- Serving open models at high speed
- Large-model training on specialized hardware
Pricing: Inference is usage-priced per token and starts with a free trial; training systems and on-premises deployments are sold separately.
Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself
Generative media inference platform for running diffusion and other models with a fast API.
Paid
Use cases
- Adding image and video generation to apps
- Serving open diffusion models at scale
- Prototyping generative media pipelines
Pricing: Pricing is usage-based per inference or compute second; new developers receive free credits.
Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself
Inference platform for fast serving and fine-tuning of open-source generative AI models.
Paid
Use cases
- Serving open models in production with low latency
- Fine-tuning models on custom data
- Migrating from closed APIs with minimal code change
Pricing: Pricing is usage-based per token, with dedicated capacity options; new developers receive free credits.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-09-10.