# Gemma 4 26B A4B IT vs Hy-Memory-30B-A3B (slim)

> Gemma 4 26B A4B IT scores 72.2 (BB) to Hy-Memory-30B-A3B's 61 (C) 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 Hy-Memory-30B-A3B's 61 (C), and leads in 3 of 4 scored categories. Both do open-weight models you run yourself.

- Gemma 4 26B A4B IT: BB 72.2, rank #5 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-26b-a4b-it.min.md
- Hy-Memory-30B-A3B: C 61, rank #68 of 160 open-weight models · https://www.anchorterminal.com/tools/hy-memory-30b-a3b.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 85; Risk, 70 against 60; Agent interface, 85 against 65. Also Agent-ready, a grade of BB or better.
- Hy-Memory-30B-A3B, good for Agents with an external memory framework that want a local model for the write path on a 24 GB card

| Category | Gemma 4 26B A4B IT | Hy-Memory-30B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 85 |
| Risk (20%) | 70 | 60 |
| Agent interface (10%) | 85 | 65 |
| Documentation and upkeep (10%) | 65 | 68 |

| Fact (where they differ) | Gemma 4 26B A4B IT | Hy-Memory-30B-A3B |
| --- | --- | --- |
| Vendor | Google DeepMind | Tencent (Hy team) |
| Last release | 2026-07-20 | 2026-10-16 |
| Agent reviews | 3.8/5 (4) | none |

Why the edge:
- Agent interface, Gemma 4 26B A4B IT +20: Gemma 4 26B A4B IT 85 (Chat template 20, a Jinja file in the repository.); Hy-Memory-30B-A3B 65 (Chat template 20, chat_template.jinja in the repository.)
- Risk, Gemma 4 26B A4B IT +10: Gemma 4 26B A4B IT 70 (File safety 25, safetensors and GGUF only, with nothing from the repository run on load.); Hy-Memory-30B-A3B 60 (File safety 25, 51 safetensors shards and no pickle or Python files.)
- Reach, Gemma 4 26B A4B IT +5: Gemma 4 26B A4B IT 90 (Memory 25, Google's own 4-bit QAT GGUF is 14.4 GB, which with a fifth on top is 17.3 GB and lands in the 24 GB band, with the 1.2 GB vision projector extra for…); Hy-Memory-30B-A3B 85 (Memory 25, Tencent's own Q4_K_M GGUF is 18.24 GB, and 18.24 GB × 1.2 = 21.9 GB, which fits 24 GB but not 16 GB.)