# BigBang-v1 vs LongCat-2.5 (slim)

> BigBang-v1 scores 56.3 (C) to LongCat-2.5's 50.5 (D) 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-longcat-2-5.md (~8,650 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/bigbang-v1-vs-longcat-2-5.json · canonical https://www.anchorterminal.com/compare/bigbang-v1-vs-longcat-2-5
- 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)

BigBang-v1 scores 56.3 (C) on agent readiness against LongCat-2.5's 50.5 (D), and leads in 1 of 4 scored categories. LongCat-2.5 leads on risk and agent interface. 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
- LongCat-2.5: D 50.5, rank #145 of 160 open-weight models · https://www.anchorterminal.com/tools/longcat-2-5.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. Ahead on Reach, 60 against 35.
- LongCat-2.5, good for Operators with NPU clusters, and anyone tracking what the open flagships can do Ahead on Risk, 60 against 55; Agent interface, 75 against 60.

| Category | BigBang-v1 | LongCat-2.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 35 |
| Risk (20%) | 55 | 60 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 46 | 46 |

| Fact (where they differ) | BigBang-v1 | LongCat-2.5 |
| --- | --- | --- |
| Vendor | The Endless Frontier (endless-frontier) | Meituan (LongCat) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-08-06 | 2026-11-10 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Reach, BigBang-v1 +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.); LongCat-2.5 35 (Memory 0, the smallest build is Meituan's W4A4 repository, 1,336 GB, and 1,336 GB × 1.2 = 1,603 GB, far above 256 GB.)
- Agent interface, LongCat-2.5 +15: BigBang-v1 60 (Chat template 20, the base's template in the repository.); LongCat-2.5 75 (Chat template 20, chat_template.jinja in the repository (11,823 characters), with a copy in tokenizer_config.json.)
- Risk, LongCat-2.5 +5: BigBang-v1 55 (File safety 25, safetensors only and nothing from the repository runs.); LongCat-2.5 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)