Fireworks records 659,687 monthly visits with +6% month-over-month growth and Contact for Pricing pricing. Rivet.dev records 21,359 monthly visits with -44.3% growth and Freemium, Contact for Pricing pricing.
Run, ensemble and train open AI models as your own specialized intelligence
Run and scale durable AI agents on your own infrastructure
| Dimension / Metric | | |
|---|---|---|
| Official Domain | fireworks.ai | rivet.dev |
| Pricing Model | Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 659.69K (659,687) | 21.36K (21,359) |
| MoM Traffic Delta | +37.29K (+6%) | -16.97K (-44.3%) |
| Primary Market & Share | 🇺🇸 United States (50.6%) | 🇺🇸 United States (39.4%) |
| Direct Visits / mo | 313.83K | 10.71K |
| User Rating | 4.6 | 4.5 |
| Supported Platforms | Website | Website |
Run, ensemble and train open AI models as your own specialized intelligence
Run open models and your own fine-tunes at up to 4x the throughput of providers that wrap vLLM, with lab-designed quality verified against reference implementations.
Reach up to 99.6% cache hit rates, with cached input priced at half or less, so recurring workloads cost far less than emitting every token fresh.
Route each turn to the model best suited to it, balancing accuracy against cost per completed task rather than locking in one model.
Fine-tune open models on proprietary data to build domain-specific intelligence that competitors cannot simply rent from a frontier lab.
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.
SpecialistActs as a unified API gateway across multiple providers, but lacks dedicated fine-tuning and custom model deployment infrastructure.
SpecialistActs as a unified API gateway across multiple providers, but lacks dedicated fine-tuning and custom model deployment infrastructure.
Delivers ultra-fast token generation speeds using custom LPU hardware, but supports a smaller catalog of open models.
SpecialistSpecializes in lightning-fast serverless inference for generative media models, but focuses less on general text LLMs.
SpecialistSpecializes in lightning-fast serverless inference for generative media models, but focuses less on general text LLMs.
Provides robust serverless inference and model fine-tuning similar to Fireworks, but with a broader developer cloud ecosystem.
Provides robust serverless inference and model fine-tuning similar to Fireworks, but with a broader developer cloud ecosystem.
Features seamless deployment and fine-tuning for machine learning models, but can have higher latency for text inference.
Features seamless deployment and fine-tuning for machine learning models, but can have higher latency for text inference.
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
One OpenAI-compatible API for 500+ image, video, audio, and LLM models
One OpenAI-compatible API for 500+ image, video, audio, and LLM models
Offers exceptionally low-cost serverless inference for open-weight models, but provides fewer advanced fine-tuning orchestration tools.
One API for 400K+ AI models, plus serverless and reserved GPUs on modular data centers
Free / Open-sourceThe TypeScript framework for building, deploying, and observing AI agents
Hosts high-performance open and commercial models with competitive pricing, but has a less established western developer community.
Hosts high-performance open and commercial models with competitive pricing, but has a less established western developer community.
Free / Open-sourceProvides decentralized serverless inference for open-source models, but offers less enterprise-grade reliability and support infrastructure.
