Replicate vs Together AI: Token Pricing, Speed & Intelligence
Full comparison of Replicate and Together AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
Replicate
Run open-source AI models with a simple API — no infrastructure required
Replicate is a platform for running open-source AI models via a simple API. It hosts thousands of community models including Llama, Stable Diffusion, Whisper, and more. Pay per prediction with no infrastructure to manage — ideal for prototyping and production inference.
Together AI
Open-source model hosting with competitive inference pricing
Together AI specialises in hosting open-weight models including the full Llama family, Mixtral, and DeepSeek variants. They offer live pricing via their public API and support fine-tuning workflows. A popular choice for teams that want open-source flexibility without managing their own GPU infrastructure.
Key metrics
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Live token pricing
Strengths & weaknesses
Replicate
Together AI
Key differentiators
The largest catalog of community AI models — if a model exists on Hugging Face, it's likely on Replicate. Unmatched for image, audio, and video model access.
The broadest open-weight model catalog with fine-tuning support — ideal for teams that need model customisation without self-hosting.
Frequently asked questions
Replicate FAQs
How does Replicate pricing work?
Replicate charges per prediction based on the compute time used. Pricing varies by model and GPU type. Text models are billed per token; image models per image. Some models are free with rate limits.
What types of models does Replicate support?
Replicate supports text (Llama, Mistral), image (Stable Diffusion, FLUX), audio (Whisper), video, and many other model types. It has one of the broadest model catalogs of any inference platform.
Can I deploy my own model on Replicate?
Yes. Replicate lets you package and deploy custom models using Cog, their open-source model packaging tool. Once deployed, your model gets a public API endpoint.
Together AI FAQs
What models does Together AI support?
Together AI hosts 100+ open-weight models including the full Llama 3.x family (8B, 70B, 405B), Mixtral, DeepSeek R1, Qwen, and many others. They also support custom fine-tuned model deployment.
How much does Together AI cost?
Llama 3.3 70B costs $0.88/1M tokens (input and output). Llama 3.1 405B is $3.50/1M tokens. Smaller models like Llama 3.2 11B Vision start at $0.18/1M tokens.
Does Together AI support fine-tuning?
Yes. Together AI offers supervised fine-tuning for Llama and other open-weight models. You can upload training data, run fine-tuning jobs, and deploy the resulting model via their inference API.
Provider resources
Replicate — Run open-source AI models with a simple API — no infrastructure required
Replicate is a platform for running open-source AI models via a simple API. It hosts thousands of community models including Llama, Stable Diffusion, Whisper, and more. Pay per prediction with no infrastructure to manage — ideal for prototyping and production inference.
The largest catalog of community AI models — if a model exists on Hugging Face, it's likely on Replicate. Unmatched for image, audio, and video model access.
Together AI — Open-source model hosting with competitive inference pricing
Together AI specialises in hosting open-weight models including the full Llama family, Mixtral, and DeepSeek variants. They offer live pricing via their public API and support fine-tuning workflows. A popular choice for teams that want open-source flexibility without managing their own GPU infrastructure.
The broadest open-weight model catalog with fine-tuning support — ideal for teams that need model customisation without self-hosting.
Key strengths compared
Replicate
- ▸Thousands of community models available instantly
- ▸Simple pay-per-prediction pricing
- ▸No infrastructure management
Together AI
- ▸Largest selection of open-weight models
- ▸Fine-tuning support for custom model training
- ▸OpenAI-compatible API — easy migration
Provider category context
Replicate is a inference api, founded in 2021. Together AI is a inference api, founded in 2022. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.
How to choose between them
Both Replicate and Together AI host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.