Replicate vs Together AI: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Replicate and Together AI. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Replicate is a model API platform that lets developers run thousands of open-source AI models — image generation, video, audio, LLM, and more — via a simple REST API with per-second billing and no infrastructure management. Developers can also package and deploy their own custom models using Cog, Replicate's open-source containerization tool. A top choice for teams that want to integrate AI capabilities into applications without managing GPU infrastructure, with a large community model library covering Stable Diffusion, Flux, Llama, and hundreds of other models.
- Thousands of community models available via API
- Per-second billing — zero idle cost
- Cog: open-source model packaging and deployment
- No infrastructure management required
- Less suited for custom training or fine-tuning at scale
- Pricing can be higher for sustained high-throughput inference
- Limited control over underlying infrastructure
No reviews yet — add yours ↗
Together AI is a full-stack AI platform combining a high-throughput inference API (200+ open-source models), dedicated GPU clusters (H100 SXM, A100), and a managed fine-tuning service. Together MoE optimization cuts costs on large mixture-of-experts models. Function calling and JSON mode across all major models. Fine-tuning: LoRA and full fine-tune for Llama, Mistral, and Qwen. GPU cloud: H100 SXM and A100 clusters for large-scale training. Check api.together.ai/models for current per-token rates.
- 200+ open-source models — wide inference API catalog
- Llama 4 Scout — competitive frontier-open pricing
- Together MoE optimization reduces cost on large MoE models
- Managed fine-tuning: LoRA and full fine-tune for Llama, Mistral, Qwen
- Function calling and JSON mode across all major models
- GPU cloud + inference API from one vendor
- GPU cloud side less polished than pure-play providers like CoreWeave
- Inference API latency trails Fireworks and Cerebras on speed benchmarks
- Enterprise SLAs require custom contracts — not self-serve
No reviews yet — add yours ↗
Live GPU Pricing
Region Coverage
Popular Comparisons
Provider pages
Key differences
Replicate
Run AI models via API — community library, billed per second
Together AI
Full-stack AI platform — 200+ models, GPU cloud, fine-tuning, and Together MoE optimization