Baseten vs Fireworks AI
A side-by-side comparison of Baseten and Fireworks AI, two Inference tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Fireworks AI
InferenceFast inference + fine-tuning. Production deployments at scale.
View Fireworks AIAt a glance
| Attribute | Baseten | Fireworks AI |
|---|---|---|
| Category | Inference | Inference |
| Pricing | FREEMIUM | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | Web, API | API |
| Model support | Multi-model | Multi-model |
| Vendor (differs) | Baseten | Fireworks AI |
| Capabilities (differs) |
|
|
The honest brief
Baseten
Pairs prebuilt Model APIs with dedicated Truss deployments and scale-to-zero, so you don't pay for idle GPUs.
- Prebuilt Model APIs for Llama, DeepSeek
- Dedicated GPU/CPU deploys for custom models
- Open-source Truss packaging format
- Production-grade observability and autoscaling
- Dedicated GPU rates run pricier than Modal
- Per-replica cost doubles for redundancy
- Engineering effort to package custom models
Fireworks AI
Runs open models on its own FireAttention serving stack, tuned for lower latency than off-the-shelf inference runtimes.
- Custom FireAttention inference stack
- Vision and audio models, not just text
- Serverless + dedicated options
- Fine-tuning supported
- Usage pricing scales with traffic
- Open-weights focus, not proprietary frontier
- Dedicated capacity costs more
When to pick which
Both cover Model inference / serving, Multi-model access, GPU compute, and Fine-tuning / training.
Pick Baseten if you need Embeddings and App / agent deployment.
- Embeddings (secondary capability)
- App / agent deployment (secondary capability)
Pick Fireworks AI if you need Transcription (STT).
- Transcription (STT) (secondary capability)
They also differ on:
- Platforms
- Web, API · API