A side-by-side of two llm gateways & inference for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: Replicate leads Replicate vs Together AI by community traction (★ 0 vs ★ 0). Pick Replicate for its strengths; pick Together AI for its strengths.
| Replicate | Together AI | |
|---|---|---|
| GitHub stars | ★ 0 | ★ 0 |
| Language | — | — |
| Category | LLM gateways & inference | LLM gateways & inference |
| Best for | ||
| Repository | / | / |
Replicate and Together AI are both credible choices. By community traction, Replicate leads (★ 0). Pick Replicate for its strengths; pick Together AI for its strengths.
Both are credible llm gateways & inference. By community traction Replicate leads (★ 0). Pick Replicate for its strengths; pick Together AI for its strengths.
Replicate is Run thousands of community and official AI models (image, video, audio, LLM) via one HTTP API with no ML infra to manage.. Together AI is Serverless and dedicated inference for 200+ open models (Llama, DeepSeek, Qwen, FLUX) plus fine-tuning, aimed at production AI teams..
Replicate has more — ★ 0 vs ★ 0 (live counts).
Often yes — many teams combine llm gateways & inference. Check each tool's docs for interop; they solve overlapping but not identical problems.
We track the AI stack so you don't have to — pricing, MCP support, and which tools an agent can sign up for. Free.