# Hy-Memory-30B-A3B vs Mistral Large 4 (slim)

> Hy-Memory-30B-A3B 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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Hy-Memory-30B-A3B scores 61 (C) on agent readiness against Mistral Large 4's 54.6 (C), and leads in 2 of 4 scored categories. Mistral Large 4 leads on risk and agent interface. Both do open-weight models you run yourself.

- Hy-Memory-30B-A3B: C 61, rank #68 of 160 open-weight models · https://www.anchorterminal.com/tools/hy-memory-30b-a3b.min.md
- Mistral Large 4: C 54.6, rank #128 of 160 open-weight models · https://www.anchorterminal.com/tools/mistral-large-4.min.md
- 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 Ahead on Reach, 85 against 50.
- 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 60; Agent interface, 95 against 65.

| Category | Hy-Memory-30B-A3B | Mistral Large 4 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 50 |
| Risk (20%) | 60 | 75 |
| Agent interface (10%) | 65 | 95 |
| Documentation and upkeep (10%) | 68 | 64 |

| Fact (where they differ) | Hy-Memory-30B-A3B | Mistral Large 4 |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Mistral AI |
| Licence | Apache-2.0 | Mistral Ecosystem Open-Weight License (modified MIT) |
| Last release | 2026-10-16 | 2026-10-29 |

Why the edge:
- Reach, Hy-Memory-30B-A3B +35: 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.); 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.)
- Agent interface, Mistral Large 4 +30: Hy-Memory-30B-A3B 65 (Chat template 20, chat_template.jinja in the repository.); Mistral Large 4 95 (The chat template is in the repository (20).)
- Risk, Mistral Large 4 +15: Hy-Memory-30B-A3B 60 (File safety 25, 51 safetensors shards and no pickle or Python files.); Mistral Large 4 75 (File safety scores 25, safetensors only and loaded by Transformers' own code with a Jinja template.)