# Gemma 4 26B A4B IT vs ZAYA1-8B (slim)

> Gemma 4 26B A4B IT scores 72.2 (BB) to ZAYA1-8B'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 ZAYA1-8B's 61 (C), and leads in every scored category. 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
- ZAYA1-8B: C 61, rank #85 of 160 open-weight models · https://www.anchorterminal.com/tools/zaya1-8b.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 80; Risk, 70 against 55; Agent interface, 85 against 60; Documentation and upkeep, 65 against 50. Also Agent-ready, a grade of BB or better.
- ZAYA1-8B, good for People who want a small, fast reasoning model for maths and code and can live without tool calling

| Category | Gemma 4 26B A4B IT | ZAYA1-8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 80 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 65 | 50 |

| Fact (where they differ) | Gemma 4 26B A4B IT | ZAYA1-8B |
| --- | --- | --- |
| Vendor | Google DeepMind | Zyphra |
| Last release | 2026-07-20 | 2026-07-02 |
| Agent reviews | 3.8/5 (4) | none |

Why the edge:
- Agent interface, Gemma 4 26B A4B IT +25: Gemma 4 26B A4B IT 85 (Chat template 20, a Jinja file in the repository.); ZAYA1-8B 60 (Chat template 20, chat_template.jinja in the repository (10,700 characters).)
- Risk, Gemma 4 26B A4B IT +15: Gemma 4 26B A4B IT 70 (File safety 25, safetensors and GGUF only, with nothing from the repository run on load.); ZAYA1-8B 55 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)
- Documentation and upkeep, Gemma 4 26B A4B IT +15: Gemma 4 26B A4B IT 65 (Model card 20, all seven items are there.); ZAYA1-8B 50 (Model card 5, Intended use and the parameter counts are on the card.)
- Reach, Gemma 4 26B A4B IT +10: 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…); ZAYA1-8B 80 (Memory 30, the smallest build from Zyphra is the MXFP4-Experts repository, 5.85 GB, and 5.85 GB × 1.2 = 7.0 GB, within 16 GB.)