Together AI vs Replicate

Together AI wins for LLM inference with better pricing, speed, and model selection. Replicate wins for image/video generation with its vast community model marketplace.

Together AI and Replicate both let you run open-source AI models in the cloud without managing your own infrastructure, but they serve different primary audiences and use cases. Together AI is optimized for language model inference — running LLMs like Llama, DeepSeek, and Qwen at the fastest possible speed with pay-per-token pricing. Replicate is a broader model marketplace where thousands of community-contributed models span text, image, video, and audio generation.

For language model inference, Together AI has clear advantages. Their token-based pricing is transparent and competitive, with $25 in free credits versus Replicate's no-free-credit approach. Together AI consistently benchmarks faster on LLM inference latency, and their fine-tuning support lets you customize models and deploy them on the same platform. The 50% batch processing and cached token discounts make it particularly cost-effective for production workloads.

Replicate's strength is the model ecosystem. With thousands of community models and 100+ curated official models, Replicate shines for image generation (FLUX from $0.003/image), video processing, audio generation, and niche ML tasks. The one-API-call deployment model means you can try any community model instantly. Since the Cloudflare acquisition, infrastructure reliability has improved. For teams that primarily need image/video generation or want access to the broadest possible model marketplace, Replicate is the better fit.

If your primary workload is text generation and LLM inference, choose Together AI. If you need diverse model types — especially image and video — or want to explore community models, choose Replicate.