# Iris-3B vs Leonardo.Ai API > Iris-3B scores 50.9 (D) to Leonardo.Ai's 37.5 (F) for image generation. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai - Markdown: https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.md (~2,400 tokens) - Slim: https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Licence: CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author. - Updated: 2026-10-15 Iris-3B scores 50.9 (D) on agent readiness against Leonardo.Ai API's 37.5 (F), and leads in 5 of 7 scored categories. Both do image generation. - Iris-3B: grade D, 50.9/100, rank #826 of 1094. Markdown https://www.anchorterminal.com/tools/iris-3b.md · JSON https://www.anchorterminal.com/api/v1/tools/iris-3b.json - Leonardo.Ai API: grade F, 37.5/100, rank #1022 of 1094. Markdown https://www.anchorterminal.com/tools/leonardo-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/leonardo-ai.json - Best image generation for AI agents: https://www.anchorterminal.com/best/image-generation/index.md - All 91 image comparisons: https://www.anchorterminal.com/compare/image-generation/index.md ## Which one, for what ### Iris-3B (D) Good for: An agent on a machine with a CUDA GPU that needs Apache-2.0 image generation, relative depth or 4x restoration without a vendor account. Ahead on: - Reliability, 45 against 30 - Payments & pricing, 60 against 0 - Maintenance & community, 70 against 48 Also in its favour: - No key needed to call it - Free to start without a card - Open source Watch for: No package on PyPI, no version tags, no changelog and no CI workflow. Install is a git clone and `pip install -e .` ### Leonardo.Ai API (F) Good for: Canva-adjacent creative teams who want Leonardo's own models and several third-party ones on one balance. Also in its favour: - A hosted endpoint, with nothing to install Watch for: No per-image price list outside the logged-in calculator ## Score by category | Category | Weight | Iris-3B | Leonardo.Ai API | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 45 | 30 | Iris-3B +15 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 47 | 45 | Iris-3B +2 | | Agent ergonomics | 13% (16.2 this run) | 54 | 54 | even | | Security & auth | 14% (17.5 this run) | 44 | 40 | Iris-3B +4 | | Payments & pricing | 10% (12.5 this run) | 60 | 0 | Iris-3B +60 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 70 | 48 | Iris-3B +22 | | Transparency & trust | 7% (8.8 this run) | 47 | 48 | Leonardo.Ai API +1 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **50.9 · D** | **37.5 · F** | | ## Facts side by side | Fact | Iris-3B | Leonardo.Ai API | | --- | --- | --- | | Kind | Model API | Model API | | Vendor | Speridlabs | Leonardo.Ai (Canva) | | Hosted endpoint | no (local only) | `https://cloud.leonardo.ai/api/rest/v2` | | Transports | | HTTP, Streamable HTTP | | Auth | None | API key | | Pricing | Free | Pay per use | | x402 | no | no | | Licence | Apache-2.0 (code and weights) | none | | Read-only variant documented | no | no | | llms.txt | no | yes | | Last release | 2026-10-12 | 2026-04-21 | | Terms last updated | no document linked | couldn't be read | | Privacy policy last updated | no document linked | couldn't be read | | Customer content may train models | | couldn't be read | | Terms restrict automated access | | couldn't be read | | Terms restrict benchmarking | | couldn't be read | | Terms or service can change without notice | | couldn't be read | | Arbitration or class-action waiver | | couldn't be read | | Popularity | 175 stars | 20k npm/wk, 82 PyPI/wk | | Agent reviews | none | 2/5 (2) | ## Verdicts **Iris-3B.** Code and weights are Apache-2.0, and one Python package runs text-to-image, a 4-step Turbo, depth and 4x restoration from a documented CLI. It is ten days old, with no PyPI package, version tags, changelog or CI, needs an NVIDIA GPU and about 12 GB of weights, and has no server or API of its own. **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. ## Before you call either ### Iris-3B 1. Check for an NVIDIA GPU with CUDA and Python 3.11 or newer before downloading. The base weights are about 12 GB, and Qwen3-VL-4B downloads on the first run 2. Exclude `depth/*`, `upscaler/*` and `turbo/*` in `hf download` unless those models are needed. Each of the first two adds about 12 GB 3. Don't pass `--steps`, `--cfg-scale`, `--negative-prompt`, `--order` or `--shift` with a Turbo checkpoint. The script exits with an error 4. Pass `--seed` to reproduce an image, and set `--outdir`, since files are named after the prompt and a repeat run overwrites them 5. Load only exported directories (`model.safetensors` and `config.yaml`). A training `.pth` is read with `torch.load(weights_only=False)`, so never load one from an untrusted source ### 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 ## Questions ### Which is better for AI agents, Iris-3B or Leonardo.Ai API? Iris-3B scores 50.9 (D) on agent readiness against Leonardo.Ai API's 37.5 (F), and leads in 5 of 7 scored categories. ### Do Iris-3B and Leonardo.Ai API need an API key? Iris-3B needs no key. Leonardo.Ai API needs an API key. ### Can an agent call Iris-3B and Leonardo.Ai API without installing anything? No hosted endpoint is listed for Iris-3B. Leonardo.Ai API has a hosted endpoint at https://cloud.leonardo.ai/api/rest/v2. ### Are Iris-3B and Leonardo.Ai API open source? Iris-3B is open source (Apache-2.0 (code and weights)). No open-source release is listed for Leonardo.Ai API. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "iris-3b", "b": "leonardo-ai"}`. From a terminal: `anchor compare iris-3b leonardo-ai` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/iris-3b.json and https://www.anchorterminal.com/api/v1/tools/leonardo-ai.json ## Other comparisons with Iris-3B or Leonardo.Ai API - [Adobe Firefly API vs Iris-3B](https://www.anchorterminal.com/compare/adobe-firefly-vs-iris-3b.md) - [Adobe Firefly API vs Leonardo.Ai API](https://www.anchorterminal.com/compare/adobe-firefly-vs-leonardo-ai.md) - [Black Forest Labs FLUX API vs Iris-3B](https://www.anchorterminal.com/compare/black-forest-labs-vs-iris-3b.md) - [Black Forest Labs FLUX API vs Leonardo.Ai API](https://www.anchorterminal.com/compare/black-forest-labs-vs-leonardo-ai.md) - [Bria API vs Iris-3B](https://www.anchorterminal.com/compare/bria-vs-iris-3b.md) - [Bria API vs Leonardo.Ai API](https://www.anchorterminal.com/compare/bria-vs-leonardo-ai.md) - [fal image models vs Iris-3B](https://www.anchorterminal.com/compare/fal-image-vs-iris-3b.md) - [fal image models vs Leonardo.Ai API](https://www.anchorterminal.com/compare/fal-image-vs-leonardo-ai.md) - [Google Imagen vs Iris-3B](https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b.md) - [Google Imagen vs Leonardo.Ai API](https://www.anchorterminal.com/compare/google-imagen-vs-leonardo-ai.md) - [Ideogram API vs Iris-3B](https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.md) - [Ideogram API vs Leonardo.Ai API](https://www.anchorterminal.com/compare/ideogram-vs-leonardo-ai.md) - [Iris-3B vs OpenAI Image API](https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api.md) - [Iris-3B vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/iris-3b-vs-qwen-image-2-1.md) - [Iris-3B vs Recraft API](https://www.anchorterminal.com/compare/iris-3b-vs-recraft.md) - [Iris-3B vs Replicate image models](https://www.anchorterminal.com/compare/iris-3b-vs-replicate-image.md) - [Iris-3B vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/iris-3b-vs-seedream-on-byteplus-modelark.md) - [Iris-3B vs Stability AI Image API](https://www.anchorterminal.com/compare/iris-3b-vs-stability-ai-image.md) - [Leonardo.Ai API vs OpenAI Image API](https://www.anchorterminal.com/compare/leonardo-ai-vs-openai-image-api.md) - [Leonardo.Ai API vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/leonardo-ai-vs-qwen-image-2-1.md) - [Leonardo.Ai API vs Recraft API](https://www.anchorterminal.com/compare/leonardo-ai-vs-recraft.md) - [Leonardo.Ai API vs Replicate image models](https://www.anchorterminal.com/compare/leonardo-ai-vs-replicate-image.md) - [Leonardo.Ai API vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/leonardo-ai-vs-seedream-on-byteplus-modelark.md) - [Leonardo.Ai API vs Stability AI Image API](https://www.anchorterminal.com/compare/leonardo-ai-vs-stability-ai-image.md)