compare-models

name	compare-models
description	Compare Replicate models by cost, speed, quality, and capabilities.

Docs

• Reference: https://replicate.com/docs/llms.txt
• OpenAPI schema: https://api.replicate.com/openapi.json
• MCP server: https://mcp.replicate.com
• Per-model docs: https://replicate.com/{owner}/{model}/llms.txt
• Set Accept: text/markdown when requesting docs pages for Markdown responses.

Workflow

1. Search or browse collections to build a shortlist of candidate models.
2. Fetch each model's schema to compare inputs, outputs, and capabilities.
3. Check pricing from model metadata or the Replicate website.
4. Run a small batch of test predictions to compare output quality.
5. Pick the model that best fits your constraints (cost, latency, quality).

What to compare

• Speed: Check metrics.predict_time on completed predictions for actual inference time. Official models are always warm. Community models can cold-boot.
• Cost: Official models have predictable per-run pricing. Community models charge by compute time (GPU-seconds). Run a few predictions and check the metrics field for actual cost.
• Quality: Run the same prompts through each model and compare outputs. Quality is subjective. Match it to your use case, not a leaderboard.
• Capabilities: Compare input schemas for supported features (reference images, masks, aspect ratios, streaming, multi-image input). Check output formats.

Key tradeoffs

• Lowest cost: smaller/distilled models. Accept slower inference and lower quality.
• Lowest latency: official models or schnell/turbo variants. Accept higher cost per run.
• Highest quality: pro/max/quality variants. Accept slower inference and higher cost.
• Most control: models with ControlNet, masks, or reference images. Accept more complex input setup.

Official vs community models

• Official models: always warm, stable APIs, predictable pricing, maintained by Replicate.
• Community models: may cold-boot, require version pinning, maintained by the author.
• If a community model meets your needs and an official model doesn't, consider creating a deployment for consistent uptime.

Prompting guidance

For prompting techniques and task-specific guidance:

• Image generation and editing: see the prompt-images skill.
• Video generation: see the prompt-videos skill.