TFireworks AI vs Replicate
Pricing, features, platforms and who each one suits — side by side.
Choose Fireworks AI if…
- you're in its core audience: ai application developers, ml engineers
Choose Replicate if…
- you're in its core audience: software developers, ml engineers
Side by side
Full feature lists
F
Fireworks AI
- Serverless per-token inference for open models
- Single endpoint across 30+ regions
- Model ensembling that routes each task by accuracy and cost
- Dedicated GPU deployments from H100 to GB300
- Managed fine-tuning and training APIs
- Discounted cached input and 50%-off batch jobs
- Data residency controls and region-restricted deployments
- SOC 2 Type 2 and ISO 27001/27701/42001 certifications
R
Replicate
- Thousands of public models for image, video, audio and text
- Python, JavaScript and HTTP API clients
- Fine-tune models such as SDXL on your own data
- Deploy custom models packaged with open-source Cog
- Autoscaling that scales to zero when idle
- Per-second billing across CPU and Nvidia GPUs
- Logging and monitoring of predictions
Their home pages
What each vendor shows first: the pitch, the plans and the sign-up.

Fireworks AI · fireworks.ai
Replicate · replicate.comWhat you'd pay
The cheapest plan that fits, per month, billed yearly where the plan offers it.
Fireworks AI
Replicate
Price changes we've recorded
We re-read each pricing page every month and log what changed.
Fireworks AI
- Nov 8, 2026Starting price: none → $8/mo; Reserved Throughput: Custom → Serverless rates, committed; New plan: Nexus Pro ($8); New plan: Nexus Team ($10); New plan: Nexus Enterprise (Custom); New plan: Dedicated GPUs ($8); Plan dropped: Dedicated Training API
Replicate
No changes since we started tracking.
Strengths and limitations
Fireworks AI
- Serverless pricing starts at $0.05 per 1M input tokens with no commitment
- Batch jobs cost 50% less
- Idle GPU deployments scale to zero after one hour
- Holds SOC 2 Type 2 and several ISO certifications
- Region-restricted deployments cost 1.5x
- Spot capacity is best-effort and only on select models
- Sovereign is still in private preview
Replicate
- Pay only for the compute time or outputs you use
- Wide range of hardware, from CPU to 8x H100
- Cog packaging tool is open source
- Model pages show cost estimates
- No free plan listed on the pricing page
- Private models are billed for idle and setup time
- Larger multi-GPU capacity requires committed spend contracts
More comparisons
Other options to consider
T

Cloud for running, fine-tuning and scaling open-source AI models on GPUs
G
Fast LLM inference cloud and OpenAI-compatible API built on custom LPU chips
O

One OpenAI-compatible API to reach hundreds of AI models across 80+ providers
D

MOpen-weight AI models, chat and coding agent you can run on your own infrastructure


Open-weight AI models, chat and coding agent you can run on your own infrastructure
O

Run open AI models locally or in the cloud on macOS, Windows and Linux
Facts from each vendor's public pages, prices checked Oct 26, 2026. Editorial policy