Replicate vs Runware (2026): which should you pick?

Pick Replicate if

• Fits if you build products that call image or video models
• Works for developers who want to deploy their own model

Look elsewhere if

• Skip it if you aren't a developer
• Pricey if you run private models, which bill for setup and idle time
• Watch out: spend isn't fixed, as it depends on the model and hardware
• Watch out: larger multi-GPU capacity needs committed spend

Pick Runware if

• Fits if you build apps that call many models
• Works for teams wanting GPU compute

Look elsewhere if

• Skip it if you aren't a developer
• Tight if you use a personal email, since the free credit needs a business one
• Watch out: no minimum top-up is stated
• Watch out: volume discounts need contacting sales

Replicate

• No fixed plan: spend depends on the model and hardware, so the $0 entry only means no subscription fee.
• Private models on dedicated hardware are billed for setup, idle and active time, not just for generations.
• Larger multi-GPU A100, H100, H200 and L40S capacity is available only with committed spend contracts.

Runware

• There are no monthly plans: billing is pay-as-you-go, and the pricing page does not state a minimum top-up.
• The FAQ says image generation typically costs from fractions of a cent to a few cents per image, depending on model, resolution and quality.
• Language models are billed per million input, output and cache tokens rather than per image.
• The $2 free credit goes to sign-ups with a business email, and volume discounts require contacting sales.

Replicate

Public model library

Thousands of open-source models contributed by the community plus proprietary ones, each with a cost estimate on its page.

Per-output or per-second billing

Some models bill per output, such as $0.04 per image for flux-1.1-pro; most bill by the seconds they run on the chosen hardware.

Private and custom models

Models packaged with the open-source Cog tool can be deployed privately; most run on dedicated hardware billed for all online time.

Fast-booting fine-tunes

Fine-tunes labeled as fast booting are billed only while active and processing requests, not for idle time.

Listed hardware rates

The pricing page lists per-second and hourly rates, such as $5.04 an hour for one A100 80GB and $0.81 an hour for a T4.

Runware

One endpoint for many models

The pricing page says image, video, audio, language and 3D models share one endpoint, auth and billing, and that switching models is a string change.

Pay-as-you-go rate sheet

Published per-generation rates for more than 300 models, with example prices at default settings.

Serverless and reserved GPUs

Bring your own model, code or container and pay for GPU time by the second, or reserve compute.

Playground and tooling

A playground estimates cost for a specific request, and the site lists an MCP server and a CLI.

Custom models and LoRA training

Uploaded models and content stay private and are not used for training, according to the FAQ.

Replicate

• Pay as you go$0

  no subscription, billed by usage

  Billed by run time on the hardware used, or by output; for example flux-dev at $0.025 per output image.

• EnterpriseCustom

  Enterprise page linked from the site; committed spend contracts unlock extra multi-GPU capacity. No prices published.

Runware

• Pay as you go$0

  no subscription; billed per generation or per token

  No monthly fee. Rates are listed per model on the pricing page, per image, per video clip or per million tokens.