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InferenceReplicate

Replicate

Run, fine-tune, and deploy thousands of open models via one API.

Pricing
FREEMIUM
Hosting
Cloud
Platforms
WebAPICLI
Models
Multi-model
Verified
Jun 6, 2026

A platform to run open-source models with one API call — image, video, audio, and language — plus fine-tuning and custom deploys with pay-per-second billing. No infra to manage.

Capabilities 4

What it actually does — grouped by capability family.

  • Model inference / serving (primary capability)
  • Multi-model access (primary capability)
  • Fine-tuning / training (secondary capability)
  • App / agent deployment (secondary capability)

Pros & cons

  • Image, video, audio, and language models
  • No idle cost, no infra to manage
  • Cog packaging for custom deploys
  • Fine-tuning supported
  • Cold starts on less-popular models
  • Per-second cost adds up at scale
  • Less control than raw GPU rental

Tags

View all Inference
  • View fal details
    InferenceFREEMIUM

    fal

    fal

    Serverless inference API for image, video, audio, and 3D models.

    A generative-media inference platform exposing FLUX, Kling, Veo, Wan, Stable Diffusion, and 600+ image/video/audio/3D models through one fast, serverless API — no GPUs to manage and near-zero cold starts. Pay per output or per GPU-second; free starter credits to test. Popular as the production backend for AI media features.

    600+ generative-media models
    Media-focused, not a general LLM host
    • generative-media
    • image-gen
    • video-gen
    • serverless
  • View Runpod details
    InferencePAID

    Runpod

    Runpod

    GPU cloud for AI — on-demand instances and serverless inference.

    Runpod is an AI developer cloud for renting GPUs on demand or running auto-scaling serverless inference endpoints. Serverless workers bill by the millisecond, scale to zero when idle, and advertise sub-200ms cold starts; on-demand Pods and multi-node Clusters cover training and long-running jobs. A Community Cloud tier offers cheaper, peer-sourced GPUs alongside the vendor-operated Secure Cloud.

    Serverless auto-scaling inference
    Community Cloud less reliable/secure
    • gpu-cloud
    • serverless
    • inference
    • deployment
    • +1
  • View Modal details
    InferenceFREEMIUM

    Modal

    Modal Labs

    Serverless GPUs. Run training, inference, batch jobs from Python.

    Define cloud workloads in Python, deploy with one command — GPU access on demand, fast cold starts, fair-share pricing. The default 'I need to fine-tune a model from a Jupyter cell' platform.

    Python-decorator infra, no YAML/Dockerfiles
    SDK lock-in; migrating means rewriting
    • gpu
    • serverless
    • python
    • training
  • View Baseten details
    InferenceFREEMIUM

    Baseten

    Baseten

    Inference cloud for serving any AI model in production.

    Production inference platform offering both pre-optimized Model APIs (Llama, DeepSeek, and more, billed per token) and dedicated GPU/CPU deployments for custom models, billed per minute with no charge for idle time. Custom models are packaged with its open-source Truss format and autoscale, including scale-to-zero. Aimed at low-latency, high-throughput serving.

    Prebuilt Model APIs for Llama, DeepSeek
    Dedicated GPU rates run pricier than Modal
    • inference
    • model-serving
    • gpu
    • autoscaling