Replicate vs Inngest

Replicate

Inngest

Replicate · 11 features

• 10k+ Models — Public catalog of image, video, audio, LLM, embedding, speech models.
• Batch Predictions — Parallel batch execution.
• Cog — OSS tool to containerize ML models. Standard for Replicate.
• Deployments — Private model endpoints with dedicated GPUs.
• File Storage — Temporary output file hosting.
• Fine-Tuning — Fine-tune FLUX, SDXL, Llama 2/3 with your data.
• Per-Second Billing — Pay only while model runs. No idle cost for public models.
• Playground — Interactive UI for every public model.
• Predictions API — Async + sync + streaming predictions.
• Streaming Outputs — SSE streaming for LLMs + audio.
• Webhooks — Notify when predictions complete.

Inngest · 14 features

• AgentKit — Build AI agents as durable Inngest functions.
• Auto Retries — Configurable retries with exponential backoff.
• Concurrency Controls — Per-function and per-user concurrency limits.
• Cron Triggers — Scheduled functions via cron syntax.
• Debounce — Coalesce rapid-fire events into one execution.
• Dev Server — Local Inngest runtime for dev.
• Durable Steps — step.run, step.sleep, step.waitForEvent.
• Event System — Typed events with schemas.
• Fan Out / Batching — Process many events in parallel with batch control.
• Priority Lanes — Route premium customers to faster execution.
• Rate Limiting — Throttle events per key.
• Realtime — Stream function output to clients.
• Replay — Re-run past functions with new code.
• Self-Host — OSS runtime — run your own Inngest.