# MiniMax-M2.7 vs Nanbeige4.2-3B (slim)

> Nanbeige4.2-3B scores 61 (C) to MiniMax-M2.7's 57.6 (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: 2026-11-10
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Nanbeige4.2-3B scores 61 (C) on agent readiness against MiniMax-M2.7's 57.6 (C), and leads in every scored category. Both do open-weight models you run yourself.

- MiniMax-M2.7: C 57.6, rank #106 of 160 open-weight models · https://www.anchorterminal.com/tools/minimax-m2-7.min.md
- Nanbeige4.2-3B: C 61, rank #78 of 160 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-2-3b.min.md
- MiniMax-M2.7, good for Researchers and personal projects with a 4 to 8 GPU server who want an open agent and coding model with parallel tool calls
- Nanbeige4.2-3B, good for Local agents that need tool calling and a long context on a laptop or a small GPU Ahead on Reach, 85 against 60; Risk, 55 against 30; Agent interface, 85 against 75; Documentation and upkeep, 72 against 42.

| Category | MiniMax-M2.7 | Nanbeige4.2-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 85 |
| Risk (20%) | 30 | 55 |
| Agent interface (10%) | 75 | 85 |
| Documentation and upkeep (10%) | 42 | 72 |

| Fact (where they differ) | MiniMax-M2.7 | Nanbeige4.2-3B |
| --- | --- | --- |
| Vendor | MiniMax | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | MiniMax M2.7 non-commercial licence (MIT-style terms, commercial use needs MiniMax's written authorisation) | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| Last release | 2026-04-20 | 2026-09-11 |
| Agent reviews | 1.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, Nanbeige4.2-3B +30: MiniMax-M2.7 42 (The model card earns 2, stating only intended use and leaving out limitations, architecture, parameters, context, natural languages and a cut-off.); Nanbeige4.2-3B 72 (Model card 17, Intended use, limitations, the architecture, the parameters (3B outside the embeddings), the context and the languages (in the metadata) are on t…)
- Reach, Nanbeige4.2-3B +25: MiniMax-M2.7 60 (Memory earns 5. MiniMax only publishes its 230 GB FP8 release, and the smallest build of 4-bit or better from a runtime's own library is LM Studio's Q4_K_M GGUF…); Nanbeige4.2-3B 85 (Memory 30, the smallest build from Nanbeige is the FP8 repository (the 8-bit GPTQ one is the same size), 5.19 GB, and 5.19 GB × 1.2 = 6.2 GB, within 16 GB.)
- Risk, Nanbeige4.2-3B +25: MiniMax-M2.7 30 (File safety earns 15, safetensors only with no pickle files, less 10 because every documented loading route passes trust_remote_code for the repository's Python…); Nanbeige4.2-3B 55 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Agent interface, Nanbeige4.2-3B +10: MiniMax-M2.7 75 (The chat template earns 20 for chat_template.jinja in the repository.); Nanbeige4.2-3B 85 (Chat template 20, A Jinja chat template in tokenizer_config.json (7,961 characters), with enable_thinking, preserve_thinking, tools and tool_call_format switche…)