Replicate is the easiest path to "I want to call Llama / Flux / Whisper" via REST. The pricing is per-prediction, which is convenient until you hit scale — A100 hours come out around $5/hr, which is the most expensive option on the market. Modal's serverless model is more work to set up but pays back immediately if you're running serious volume or need anything beyond out-of-the-box model inference.
Modal vs Replicate
Modal vs Replicate — Python-native compute or hosted-model API?
Side by side
PRICING + WHO IT'S FOR| Modal | Replicate | |
|---|---|---|
| CATEGORY | COMPUTE | COMPUTE |
| RATING | 8.7 / 10 | 8.3 / 10 |
| PRICING | PER-SECOND · GPUS FROM $0.59/HR | PER-SECOND COMPUTE · CPU FROM $0.36/HR |
| BEST FOR | Python-first ML inference, fine-tuning, data pipelines, scheduled batch. Teams that want DX over raw $/hour. | Prototyping, quick swaps between open-source models, per-request inference without managing infrastructure. |
| WATCH OUT | Non-Python stacks (Node/Go/Rust), teams chasing the cheapest raw GPU rates, workloads needing hyperscaler procurement posture. | Cost-sensitive high-volume inference, workloads needing guaranteed dedicated capacity, regulated data. |
Our verdict
PICK BY USE CASE, NOT RATINGPICK Modal
Pick Modal when you want full control of the code path — train, fine-tune, custom inference, anything beyond a single model call.
PICK Replicate
Pick Replicate when you want to call open-weight models behind an HTTPS endpoint without managing any infra at all.
Frequently asked
TAP TO EXPANDModal is for building; Replicate is for consuming.
Modal: PER-SECOND · GPUS FROM $0.59/HR. Replicate: PER-SECOND COMPUTE · CPU FROM $0.36/HR.
Modal — Non-Python stacks (Node/Go/Rust), teams chasing the cheapest raw GPU rates, workloads needing hyperscaler procurement posture.. Replicate — Cost-sensitive high-volume inference, workloads needing guaranteed dedicated capacity, regulated data..