# Mistral Large 4 vs ZAYA1-8B (slim)

> ZAYA1-8B scores 61 (C) to Mistral Large 4's 54.6 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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ZAYA1-8B scores 61 (C) on agent readiness against Mistral Large 4's 54.6 (C), and leads in 1 of 4 scored categories. Mistral Large 4 leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Mistral Large 4: C 54.6, rank #128 of 160 open-weight models · https://www.anchorterminal.com/tools/mistral-large-4.min.md
- ZAYA1-8B: C 61, rank #85 of 160 open-weight models · https://www.anchorterminal.com/tools/zaya1-8b.min.md
- Mistral Large 4, good for Operators with an 8-GPU Blackwell or H200 node who want a frontier-sized open model for coding agents and defensive security, with a hosted twin on Mistral's API. Ahead on Risk, 75 against 55; Agent interface, 95 against 60; Documentation and upkeep, 64 against 50.
- ZAYA1-8B, good for People who want a small, fast reasoning model for maths and code and can live without tool calling Ahead on Reach, 80 against 50.

| Category | Mistral Large 4 | ZAYA1-8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 80 |
| Risk (20%) | 75 | 55 |
| Agent interface (10%) | 95 | 60 |
| Documentation and upkeep (10%) | 64 | 50 |

| Fact (where they differ) | Mistral Large 4 | ZAYA1-8B |
| --- | --- | --- |
| Vendor | Mistral AI | Zyphra |
| Licence | Mistral Ecosystem Open-Weight License (modified MIT) | Apache-2.0 |
| Last release | 2026-10-29 | 2026-07-02 |

Why the edge:
- Agent interface, Mistral Large 4 +35: Mistral Large 4 95 (The chat template is in the repository (20).); ZAYA1-8B 60 (Chat template 20, chat_template.jinja in the repository (10,700 characters).)
- Reach, ZAYA1-8B +30: Mistral Large 4 50 (Memory scores 0, since the smallest 4-bit build, Mistral's NVFP4, is 610 GB, about 732 GB with a fifth added, far above 256 GB.); 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.)
- Risk, Mistral Large 4 +20: Mistral Large 4 75 (File safety scores 25, safetensors only and loaded by Transformers' own code with a Jinja template.); ZAYA1-8B 55 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)
- Documentation and upkeep, Mistral Large 4 +14: Mistral Large 4 64 (The card covers intended use, architecture, parameters, context and languages, and misses limitations and a cut-off (14).); ZAYA1-8B 50 (Model card 5, Intended use and the parameter counts are on the card.)