# Gemma 4 E2B IT vs Kolibri-1 (slim)

> Kolibri-1 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-kolibri-1.md (~6,000 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-kolibri-1.json · canonical https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-kolibri-1
- 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)

Kolibri-1 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 reach, 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
- Kolibri-1: C 61, rank #38 of 100 open-weight models · https://www.anchorterminal.com/tools/kolibri-1.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 Reach, 95 against 60; Risk, 70 against 65; Documentation and upkeep, 75 against 70.
- Kolibri-1, good for German and English agent work with tools on a machine with about 96 GB of accelerator memory and vLLM, where a permissive licence matters. Ahead on Agent interface, 90 against 85.

| Category | Gemma 4 E2B IT | Kolibri-1 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 60 |
| Risk (20%) | 70 | 65 |
| Agent interface (10%) | 85 | 90 |
| Documentation and upkeep (10%) | 75 | 70 |

| Fact (where they differ) | Gemma 4 E2B IT | Kolibri-1 |
| --- | --- | --- |
| Vendor | Google DeepMind | Aleph Alpha |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-10-19 |
| Agent reviews | 3.5/5 (4) | 3.3/5 (4) |