
SpecialistProvides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.

Rivet.dev records 21,359 monthly visits with -44.3% month-over-month growth and Freemium, Contact for Pricing pricing. Together AI records 1,645,930 monthly visits with +64.9% growth and Freemium, Paid pricing.

Run and scale durable AI agents on your own infrastructure

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | rivet.dev | together.ai |
| Pricing Model | Freemium, Contact for Pricing | Freemium, Paid |
| Monthly Visits | 21.36K (21,359) | 1.65M (1,645,930) |
| MoM Traffic Delta |
| -16.97K (-44.3%) |
| +647.75K (+64.9%) |
| Primary Market & Share | 🇺🇸 United States (39.4%) | 🇺🇸 United States (36.3%) |
|---|
| Direct Visits / mo | 10.71K | 882.21K |
|---|
| User Rating | 4.5 | 4.7 |
|---|
| Supported Platforms | Website | Website |
|---|

Run and scale durable AI agents on your own infrastructure
Every Actor gets a SQLite database and a filesystem, so an agent's memory and progress survive restarts and idle periods without a separate database.
Run untrusted or AI-generated code on your own infrastructure with fine-grained control over network access, filesystem permissions, and resource limits.
A node failure reschedules its Actors elsewhere with state intact, and multi-step work replays after a crash — with no checkpointing harness to build yourself.
Address an Actor directly over HTTP or hold a live WebSocket, and use the React SDK to subscribe components to an Actor's state in real time.

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.

SpecialistProvides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.


SpecialistRestricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.
#2Aggregates hundreds of models through a single API, offering broader model choice than Together AI's hosted lineup.

Delivers dramatically faster token generation speeds using custom hardware, though with a more limited model selection.

SpecialistOne API for 1,500+ production-ready generative media models

Focuses heavily on deploying custom machine learning models and media generation pipelines alongside standard text LLMs.
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
Provides exceptionally fast inference speeds and robust fine-tuning tools, competing directly on open-source model deployment performance.

Offers similar low-cost serverless inference for open-weight models, but with a simpler pay-as-you-go pricing model.

Free / Open-sourceThe TypeScript framework for building, deploying, and observing AI agents
One API for fast, cost-predictable inference on LLMs and multimodal models
Delivers competitive serverless pricing and GPU instances, but features a slightly less refined developer dashboard experience.
SpecialistProvides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.
SpecialistRestricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.
Aggregates hundreds of models through a single API, offering broader model choice than Together AI's hosted lineup.
Focuses heavily on deploying custom machine learning models and media generation pipelines alongside standard text LLMs.
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
One API for fast, cost-predictable inference on LLMs and multimodal models