Replicate review: an inference provider for image, video and community models
Answer in brief: Replicate ranks #10 among the best AI inference providers. It is the go-to for generative media and quick prototypes across thousands of community and proprietary models. Many models are priced per output (FLUX 1.1 Pro is $0.04 per image), and public models bill only for processing time. For LLM tokens and dedicated private models it is pricier than GPU clouds, with H100 hardware at $5.49/hr.
Independent research, checked 2026-11-09 against Replicate's pricing page. We did not test the product hands-on.
Thousands of models, one API
Replicate hosts thousands of open-source models contributed by its community, plus a wide range of proprietary ones, behind a single API. Each model page shows a cost estimate. Most public models are billed by the time they take to run on a given hardware type; others, especially popular image and video models, are billed per input and output. To ship your own model, you package it with Cog, Replicate's open-source tool.
Who Replicate fits best
Replicate fits product teams building image, video and audio features, prototypers who want to try many models fast, and developers who want predictable per-image or per-second-of-video pricing.
Why teams pick Replicate
- Catalog breadth across image, video, audio and language models.
- Per-output pricing: FLUX 1.1 Pro $0.04/image, FLUX Dev $0.025/image, FLUX Schnell $3.00 per thousand images, Ideogram v3 Quality $0.09/image.
- Video by the second: Wan 2.1 image-to-video at $0.09 (480p) or $0.25 (720p) per second of output.
- Pay only for processing on public models.
- Bring your own model with Cog. Fast-booting fine-tunes bill only while active.
- Enterprise options: a dedicated account manager, priority support, higher GPU limits, performance SLAs and volume discounts.
The honest drawbacks
- Most private models run on dedicated hardware and bill for setup and idle time, not just active requests.
- Hardware is pricey next to GPU clouds: H100 $5.49/hr, A100 80GB $5.04/hr, L40S $3.51/hr.
- H200 capacity, and additional multi-GPU A100, H100 and L40S capacity, require committed-spend contracts.
- Not the cheapest place for LLM tokens: DeepSeek R1 is $3.75 per 1M input tokens and $0.01 per thousand output tokens ($10 per 1M).
Pricing at a glance
| Item | Published price |
|---|---|
| FLUX 1.1 Pro | $0.04 per output image |
| Wan 2.1 i2v 720p | $0.25 per second of video |
| DeepSeek R1 | $3.75 per 1M input; $0.01 per 1K output tokens |
| Nvidia H100 | $0.001525/sec ($5.49/hr) |
| Nvidia T4 | $0.000225/sec ($0.81/hr) |
Best Replicate alternatives
- Modal: cheaper per-second GPUs (H100 about $3.95/hr) for your own code.
- Together AI: image, video and audio models alongside low-cost LLM tokens.
- Fireworks AI: production LLM serving with per-request speed and cost modes.
Replicate FAQ
How does Replicate charge for public models?
Most are billed by processing time on the hardware used; some are billed per input and output, such as per image or per second of video.
Do private models on Replicate cost more?
Usually. Most private models run on dedicated hardware and bill for setup, idle and active time. Fast-booting fine-tunes bill only while active.
How do I deploy my own model on Replicate?
Package it with Cog, Replicate's open-source tool, and push it to Replicate.
Sources
- Replicate pricing
- Cog on GitHub
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