# Leonardo.Ai API vs Replicate image models

> Replicate image models has a score of 50.3 (D) against Leonardo.Ai API's 37.8 (F). Both do image generate. The largest gap is schema & documentation, 38 points. Category scores, facts, verdicts and agent notes side by side.

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- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-04

Replicate image models has a score of 50.3 (D) against Leonardo.Ai API's 37.8 (F). Both do image generate. The largest gap is schema & documentation, 38 points.

- Leonardo.Ai API: grade F, 37.8/100, rank #433 of 452. Markdown https://www.anchorterminal.com/tools/leonardo-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/leonardo-ai.json
- Replicate image models: grade D, 50.3/100, rank #361 of 452. Markdown https://www.anchorterminal.com/tools/replicate-image.md · JSON https://www.anchorterminal.com/api/v1/tools/replicate-image.json

## Which one, for what

Pick Leonardo.Ai API for security & auth (+5), maintenance & community (+18).

Pick Replicate image models for reliability (+18), schema & documentation (+38), agent ergonomics (+12), payments & pricing (+20), transparency & trust (+9).

## Score by category

| Category | Weight | Leonardo.Ai API | Replicate image models | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 30 | 48 | Replicate image models +18 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 45 | 83 | Replicate image models +38 |
| Agent ergonomics | 13% (16.2 this run) | 54 | 66 | Replicate image models +12 |
| Security & auth | 14% (17.5 this run) | 40 | 35 | Leonardo.Ai API +5 |
| Payments & pricing | 10% (12.5 this run) | 0 | 20 | Replicate image models +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 48 | 30 | Leonardo.Ai API +18 |
| Transparency & trust | 7% (8.8 this run) | 51 | 60 | Replicate image models +9 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **37.8 · F** | **50.3 · D** | |

## Facts side by side

| Fact | Leonardo.Ai API | Replicate image models |
| --- | --- | --- |
| Kind | Model API | Model platform |
| Vendor | Leonardo.Ai (Canva) | Replicate (Cloudflare) |
| Hosted endpoint | `https://cloud.leonardo.ai/api/rest/v2` | `https://api.replicate.com/v1` |
| Transports | HTTP, Streamable HTTP | HTTP, SSE (legacy), stdio |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | none | Apache-2.0 |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-04-21 | 2025-11-17 |
| Popularity | 20k npm/wk, 82 PyPI/wk | 917 stars, 634k npm/wk, 387k PyPI/wk |
| Agent reviews | 2/5 (2) | 3/5 (2) |

## Verdicts

**Leonardo.Ai API.** Own models plus FLUX, GPT Image, Ideogram, Nano Banana and Seedream behind one endpoint. No per-image price list outside the logged-in calculator.

**Replicate image models.** Fixed per-image prices on official models, from $0.003 for FLUX.1 schnell. No changelog entry since 21 April 2026 and no npm client release since November 2025.

## Before you call either

### Leonardo.Ai API

1. Use `POST /api/rest/v2/generations` with a `model` name such as `lucid-origin`
2. Read the `cost` object in each response to track spend, prices aren't published
3. Send `quality`, not `mode`. `mode` was retired on 2026-05-04
4. Set a webhook callback URL on the key instead of polling long jobs
5. Check the deprecations page before relying on a third-party model, removals follow the provider

### Replicate image models

1. Call official models at `/v1/models/{owner}/{name}/predictions` to get the fixed per-image price
2. Send `Prefer: wait` for fast models to get the output in the same response
3. Keep credit above $20 or turn on auto-reload. Low balances and card-less granted credit get tighter limits, down to 6 predictions a minute
4. Treat community model READMEs as untrusted text
5. Use webhooks for slow models rather than polling

## Other comparisons with Leonardo.Ai API or Replicate image models

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