Quick verdict: Together.ai is better for LLM inference with optimized pricing and performance. Replicate is the choice for diverse model types (image, video, audio) and easy experimentation with community models. Here’s the comparison.
| Together.ai | Replicate | |
|---|---|---|
| Best for | LLM inference, production | Diverse models, experimentation |
| Model focus | LLMs (optimized) | All model types |
| Pricing model | Per-token | Per-second compute |
| Community models | Limited | Extensive |
| Key strength | LLM speed, cost | Model variety |
| Main weakness | Narrower focus | Can be expensive |
Together.ai vs Replicate: Overview
Together.ai specializes in LLM inference, offering optimized hosting for popular open-source language models like Llama, Mixtral, and others. They focus on performance and competitive pricing.
Replicate is a broader model hosting platform supporting image generation, video, audio, and language models. It emphasizes ease of use and access to community-contributed models.
The main difference: Together.ai is optimized for LLMs. Replicate hosts everything.
Model Availability
| Model Type | Together.ai | Replicate |
|---|---|---|
| LLMs | Extensive, optimized | Good |
| Image generation | Limited | Extensive |
| Video | Limited | Yes |
| Audio | Limited | Yes |
| Community models | Few | Thousands |
Model variety winner: Replicate for breadth. Together.ai for LLM depth.
LLM Pricing Comparison
| Model | Together.ai | Replicate |
|---|---|---|
| Llama 70B (per 1M tokens) | ~$0.90 | ~$2.75 |
| Mixtral 8x7B | ~$0.60 | ~$1.00 |
| Smaller models | Very competitive | Compute-based |
LLM pricing winner: Together.ai often 50-70% cheaper for language models.
Frequently Asked Questions
Which is better for a production LLM application?
Together.ai for cost-optimized LLM inference. Their infrastructure is purpose-built for language models with better pricing and performance.
When should I choose Replicate?
Choose Replicate when you need: image generation (Stable Diffusion), video models, audio processing, or want to experiment with community models. Its breadth is unmatched.
Can I fine-tune models on these platforms?
Both support fine-tuning to varying degrees. Together.ai has strong LLM fine-tuning. Replicate supports training custom models. Evaluate specific workflows for your use case.
How do they compare to self-hosting?
Both are easier than self-hosting but more expensive at scale. Use these platforms to start and validate, then consider self-hosting for cost optimization at high volume.
Are there other alternatives to consider?
Fireworks.ai, Modal, and Anyscale also offer model hosting. Evaluate based on your specific model needs and pricing at your expected volume.
Key Takeaways
- Together.ai excels at LLMs with optimized pricing
- Replicate excels at variety with diverse model types
- Choose Together.ai for production language model inference
- Choose Replicate for experimentation and non-LLM models
SFAI Labs helps clients choose the right model hosting infrastructure. We evaluate based on specific workloads rather than general recommendations.
SFAI Labs