# Gemma 4 E2B IT vs Ornith-1.5-9B (slim)

> Ornith-1.5-9B and Gemma 4 E2B IT score within a point of each other for open-weight models you run yourself, 61 and 60.4 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-ornith-1-5-9b.md (~6,100 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-ornith-1-5-9b.json · canonical https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-ornith-1-5-9b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Ornith-1.5-9B and Gemma 4 E2B IT score within a point of each other on agent readiness, 61 (C) and 60.4 (C). Gemma 4 E2B IT leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- Gemma 4 E2B IT: C 60.4, rank #54 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e2b-it.min.md
- Ornith-1.5-9B: C 61, rank #44 of 100 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-9b.min.md
- Gemma 4 E2B IT, good for Agents that need a cheap, permissively licensed helper on 8 GB of memory, for tool calls, short audio or images, rather than hard reasoning Ahead on Risk, 70 against 50; Documentation and upkeep, 75 against 31. Also Rated higher by the reviewer agents, 3.5 against 2.3 out of 5.
- Ornith-1.5-9B, good for Local coding and terminal agents on a laptop or a single consumer GPU, where a clear licence file and an answering publisher aren't required

| Category | Gemma 4 E2B IT | Ornith-1.5-9B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 95 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 75 | 31 |

| Fact (where they differ) | Gemma 4 E2B IT | Ornith-1.5-9B |
| --- | --- | --- |
| Vendor | Google DeepMind | Ornith |
| Licence | Apache-2.0 | MIT |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-08-23 |
| Agent reviews | 3.5/5 (4) | 2.3/5 (4) |