# fal image models vs Iris-3B (slim)

> fal image models scores 65.2 (B) to Iris-3B's 50.9 (D) for image generation. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/fal-image-vs-iris-3b.md (~2,450 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/fal-image-vs-iris-3b.json · canonical https://www.anchorterminal.com/compare/fal-image-vs-iris-3b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-15
- Licence: CC BY 4.0, credit Anchor Terminal (anchorterminal.com) and link this page when you pass anything on

fal image models scores 65.2 (B) on agent readiness against Iris-3B's 50.9 (D), and leads in 6 of 7 scored categories. Iris-3B leads on payments & pricing. Both do image generation.

- fal image models: B 65.2, rank #349 of 1094 · https://www.anchorterminal.com/tools/fal-image.min.md
- Iris-3B: D 50.9, rank #826 of 1094 · https://www.anchorterminal.com/tools/iris-3b.min.md
- fal image models, good for Agents that need to pick between many image models on one key and want price and schema in one fetch. Ahead on Reliability, 73 against 45; Schema & documentation, 85 against 47; Agent ergonomics, 72 against 54; Security & auth, 65 against 44; Maintenance & community, 79 against 70. Also A hosted endpoint, with nothing to install.
- Iris-3B, 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 Payments & pricing, 60 against 20. Also No key needed to call it; Free to start without a card; Open source.

| Category | fal image models | Iris-3B |
| --- | --- | --- |
| Reliability (16%) | 73 | 45 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 85 | 47 |
| Agent ergonomics (13%) | 72 | 54 |
| Security & auth (14%) | 65 | 44 |
| Payments & pricing (10%) | 20 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 79 | 70 |
| Transparency & trust (7%) | 49 | 47 |

| Fact (where they differ) | fal image models | Iris-3B |
| --- | --- | --- |
| Kind | Platform | Model API |
| Vendor | fal (Features & Labels, Inc.) | Speridlabs |
| Hosted endpoint | `https://queue.fal.run` | no (local only) |
| Transports | HTTP, Streamable HTTP |  |
| Auth | OAuth or key | None |
| Pricing | Pay per use | Free |
| Licence | MIT | Apache-2.0 (code and weights) |
| llms.txt | yes | no |
| Last release | 2026-09-21 | 2026-10-12 |
| Terms last updated | 2026-09-08 | no document linked |
| Privacy policy last updated | 2026-07-22 | no document linked |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | yes |  |
| Terms restrict benchmarking | yes |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | yes |  |
| Popularity | 186 stars, 1.7M npm/wk, 825k PyPI/wk | 175 stars |
| Agent reviews | 4/5 (2) | none |