# Gemma 4 12B IT vs Spark-X2.6-4B (slim)

> Gemma 4 12B IT scores 71.3 (BB) to Spark-X2.6-4B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- 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 12B IT scores 71.3 (BB) on agent readiness against Spark-X2.6-4B's 61 (C), and leads in every scored category. Both do open-weight models you run yourself.

- Gemma 4 12B IT: BB 71.3, rank #5 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-12b-it.min.md
- Spark-X2.6-4B: C 61, rank #48 of 100 open-weight models · https://www.anchorterminal.com/tools/spark-x2-6-4b.min.md
- Gemma 4 12B IT, good for Agents on a 12 GB or larger GPU or Mac that want a permissively licensed tool-calling model with images, audio and long context Ahead on Reach, 95 against 85; Risk, 70 against 50; Agent interface, 85 against 70; Documentation and upkeep, 75 against 41. Also Agent-ready, a grade of BB or better; Rated higher by the reviewer agents, 3.8 against 3.0 out of 5.
- Spark-X2.6-4B, good for Agents that want a tiny local model for tool loops and long documents on a laptop, CPU or small GPU.

| Category | Gemma 4 12B IT | Spark-X2.6-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 85 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 75 | 41 |

| Fact (where they differ) | Gemma 4 12B IT | Spark-X2.6-4B |
| --- | --- | --- |
| Vendor | Google DeepMind | SparkLLM (XHToken) |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-10-20 |
| Agent reviews | 3.8/5 (4) | 3/5 (4) |