ML Platforms

Replicate vs Together AI.

Both sit in ML Platforms, scored on the same six pillars from the same published methodology. Here is where they actually differ.

The short answer

Too close to call on score alone — Replicate sits at 79.1 and Together AI at 80.6. A gap that size is inside the noise of any honest scoring model, so pick on fit rather than rank.

Together AI leads on momentum.

Replicate

Replicate, Inc.

79.1

Strong

Run any open model in the cloud with one line of code.

From
Pay per second of compute (no minimum)
Pricing
Usage-based
Maturity
Established
Founded
2019
Together AI

Together AI

80.6

Strong

Fast inference and fine-tuning for open-source models.

From
Pay-as-you-go per token / per GPU-hour
Pricing
Usage-based
Maturity
Established
Founded
2022

Pillar by pillar

The same six pillars and fixed weights used for every tool on the site. A lead of fewer than 5 points is not called for either side — these are evidence-backed judgements, not measurements. Read the methodology.

Capability

Level

Replicate80
Together AI82

Value for Money

Level

Replicate83
Together AI84

Security & Compliance

Level

Replicate74
Together AI76

Integrations & Ecosystem

Level

Replicate84
Together AI80

Maturity & Reliability

Level

Replicate77
Together AI74

Momentum

Together AI by 9

Replicate75
Together AI84

Which one, and when

Pick Replicate if

  • Shipping model-backed features fast
  • Experimenting across many models
  • Spiky/low-volume workloads

The catch

  • Cold starts add latency on rarely used models
  • Costs above dedicated hosting at sustained high volume
Full Replicate profile →

Pick Together AI if

  • where the product will be in a year matters as much as today — it leads Momentum by 9 points.
  • Shipping open models to production
  • Fine-tuning at lower cost
  • Teams avoiding vendor lock-in

The catch

  • You own more of the model-selection and eval work than with a closed API
  • Enterprise compliance surface still maturing vs hyperscalers
Full Together AI profile →

What each is good at

Replicate

  • Simplest way to productionize any open model
  • True pay-per-use with per-second billing
  • Huge catalog of ready-to-run community models

Together AI

  • Fast, cost-effective inference for a huge range of open models
  • OpenAI-compatible API makes switching low-friction
  • Fine-tuning and dedicated GPU capacity in one place

Other comparisons in ML Platforms

Comparing something else? Build your own side-by-side across any tools in the catalog.