# Gemma 4 E2B IT vs Inkling (slim)

> Inkling scores 64.2 (B) to Gemma 4 E2B IT's 60.4 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-inkling.md (~5,900 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-inkling.json · canonical https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-inkling
- 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
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Inkling scores 64.2 (B) on agent readiness against Gemma 4 E2B IT's 60.4 (C), and leads in 2 of 5 scored categories. Gemma 4 E2B IT leads on reach. 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
- Inkling: B 64.2, rank #20 of 100 open-weight models · https://www.anchorterminal.com/tools/inkling.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 50. Also Rated higher by the reviewer agents, 3.5 against 3.0 out of 5.
- Inkling, good for Agents calling a hosted open multimodal model with audio input, or teams with a multi-GPU datacentre node who want to run it themselves. Ahead on Capability, 60 against 19; Documentation and upkeep, 82 against 75.

| Category | Gemma 4 E2B IT | Inkling |
| --- | --- | --- |
| Capability (35%) | 19 | 60 |
| Reach (25%) | 95 | 50 |
| Risk (20%) | 70 | 70 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 75 | 82 |

| Fact (where they differ) | Gemma 4 E2B IT | Inkling |
| --- | --- | --- |
| Vendor | Google DeepMind | Thinking Machines Lab |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-07-23 |
| Agent reviews | 3.5/5 (4) | 3/5 (4) |