# Gemma 4 31B IT vs Inkling-Small (slim)

> Gemma 4 31B IT scores 74.1 (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.

- Full: https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-inkling-small.md (~6,150 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-inkling-small.json · canonical https://www.anchorterminal.com/compare/gemma-4-31b-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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Gemma 4 31B IT scores 74.1 (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 31B IT: BB 74.1, rank #2 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-31b-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 31B IT, good for An agent with a 24 GB GPU or more that wants a dense multimodal cousin with tool calling under a plain licence Ahead on Reach, 95 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 31B IT | Inkling-Small |
| --- | --- | --- |
| Capability (35%) | 61 | 63 |
| Reach (25%) | 95 | 55 |
| Risk (20%) | 70 | 70 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 65 | 82 |

| Fact (where they differ) | Gemma 4 31B IT | Inkling-Small |
| --- | --- | --- |
| Vendor | Google DeepMind | Thinking Machines Lab |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-07-31 |
| Agent reviews | 3.8/5 (4) | 3.5/5 (4) |