Helicone vs Replicate

Helicone

Replicate

Helicone · 16 features

• Alerts — Thresholds on error rate, latency, cost, usage. Pro+.
• Async Logging — Log AFTER the LLM call via SDK — zero added latency.
• Cost Tracking — Automatic cost calculation per call by provider/model.
• Dashboard — Request tables, aggregate metrics, cost breakdowns.
• Evaluators — LLM-as-judge + custom evaluators on runs.
• Experiments — A/B test different models/prompts.
• HQL (SQL over traces) — Query your logged data with SQL. Pro+.
• PII Redaction — Automatically scrub emails, credit cards, etc. from logs.
• Prompt Caching — Cache identical requests → save money.
• Prompts & Versions — Store + version + A/B test prompts.
• Proxy Mode — 1-line integration via base URL swap. Captures all requests.
• Rate Limiting — Per-user + per-key rate limit policies.
• Reports — Scheduled email reports with KPIs.
• Self-Hosting — Docker + k8s deployment.
• Sessions — Group related calls (chat sessions, agent runs).
• User Metrics — Per-user cost + usage segmentation.

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.