# BigBang-v1 vs Nanbeige4.2-3B (slim)

> Nanbeige4.2-3B scores 61 (C) to BigBang-v1's 56.3 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/bigbang-v1-vs-nanbeige-4-2-3b.md (~9,000 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/bigbang-v1-vs-nanbeige-4-2-3b.json · canonical https://www.anchorterminal.com/compare/bigbang-v1-vs-nanbeige-4-2-3b
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Nanbeige4.2-3B scores 61 (C) on agent readiness against BigBang-v1's 56.3 (C), and leads in 3 of 4 scored categories. Both do open-weight models you run yourself.

- BigBang-v1: C 56.3, rank #116 of 160 open-weight models · https://www.anchorterminal.com/tools/bigbang-v1.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
- BigBang-v1, good for Agents with 96 GB or more that want an Apache 2.0 mixture-of-experts model tuned for research, search and coding, and can do without publisher support.
- 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; Agent interface, 85 against 60; Documentation and upkeep, 72 against 46.

| Category | BigBang-v1 | Nanbeige4.2-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 85 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 46 | 72 |

| Fact (where they differ) | BigBang-v1 | Nanbeige4.2-3B |
| --- | --- | --- |
| Vendor | The Endless Frontier (endless-frontier) | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | Apache-2.0 | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| Last release | 2026-08-06 | 2026-09-11 |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Documentation and upkeep, Nanbeige4.2-3B +26: BigBang-v1 46 (Model card 11 of 20, limitations, architecture and a cut-off are missing.); 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: BigBang-v1 60 (Memory 10 of 30, the only build from the publisher is BF16 at 71.9 GB, 86.3 GB with a fifth added, which fits the reference machine but not 64 GB.); 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.)
- Agent interface, Nanbeige4.2-3B +25: BigBang-v1 60 (Chat template 20, the base's template 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…)