# Gemma 4 26B A4B IT vs Inkling-Small (slim)

> Gemma 4 26B A4B IT scores 72.2 (BB) to Inkling-Small's 66.5 (B) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Gemma 4 26B A4B IT scores 72.2 (BB) on agent readiness against Inkling-Small's 66.5 (B), and leads in 1 of 5 scored categories. Inkling-Small leads on documentation and upkeep. Both do open-weight models you run yourself.

- Gemma 4 26B A4B IT: BB 72.2, rank #4 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-26b-a4b-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 26B A4B IT, good for Agents on a 24 GB or larger GPU or Mac that want a fast, permissively licensed tool-calling model with images and long context Ahead on Reach, 90 against 55. Also Agent-ready, a grade of BB or better.
- 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 Documentation and upkeep, 82 against 65.

| Category | Gemma 4 26B A4B IT | Inkling-Small |
| --- | --- | --- |
| Capability (35%) | 59 | 63 |
| Reach (25%) | 90 | 55 |
| Risk (20%) | 70 | 70 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 65 | 82 |

| Fact (where they differ) | Gemma 4 26B A4B IT | Inkling-Small |
| --- | --- | --- |
| Vendor | Google DeepMind | Thinking Machines Lab |
| Last release | 2026-07-20 | 2026-07-31 |
| Agent reviews | 3.8/5 (4) | 3.5/5 (4) |