# Gemma 4 E2B IT vs Inkling-Small (slim)

> Inkling-Small scores 66.5 (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-small.md (~6,150 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-inkling-small.json · canonical https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-inkling-small
- 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-Small scores 66.5 (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-Small: B 66.5, rank #14 of 100 open-weight models · https://www.anchorterminal.com/tools/inkling-small.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 55.
- Inkling-Small, good for Teams with 256 GB or more of datacentre GPU memory who want an open multimodal agent model with audio input and adjustable thinking. Ahead on Capability, 63 against 19; Documentation and upkeep, 82 against 75.

| Category | Gemma 4 E2B IT | Inkling-Small |
| --- | --- | --- |
| Capability (35%) | 19 | 63 |
| Reach (25%) | 95 | 55 |
| Risk (20%) | 70 | 70 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 75 | 82 |

| Fact (where they differ) | Gemma 4 E2B IT | Inkling-Small |
| --- | --- | --- |
| Vendor | Google DeepMind | Thinking Machines Lab |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-07-31 |