# BigBang-v1 vs Cola2 (slim)

> BigBang-v1 scores 56.3 (C) to Cola2's 33.9 (F) 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-cola2.md (~8,400 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/bigbang-v1-vs-cola2.json · canonical https://www.anchorterminal.com/compare/bigbang-v1-vs-cola2
- 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 Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep. 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
- Cola2: F 33.9, rank #160 of 160 open-weight models · https://www.anchorterminal.com/tools/cola2.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 25; Risk, 55 against 40; Agent interface, 60 against 20.
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study Ahead on Documentation and upkeep, 58 against 46.

| Category | BigBang-v1 | Cola2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 25 |
| Risk (20%) | 55 | 40 |
| Agent interface (10%) | 60 | 20 |
| Documentation and upkeep (10%) | 46 | 58 |

| Fact (where they differ) | BigBang-v1 | Cola2 |
| --- | --- | --- |
| Vendor | The Endless Frontier (endless-frontier) | ByteDance (Seed) |
| Licence | Apache-2.0 | None stated for the weights (the code is Apache 2.0) |
| Last release | 2026-08-06 | 2026-11-06 |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Agent interface, BigBang-v1 +40: BigBang-v1 60 (Chat template 20, the base's template in the repository.); Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.)
- Reach, BigBang-v1 +35: 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.); Cola2 25 (Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 GB.)
- Risk, BigBang-v1 +15: BigBang-v1 55 (File safety 25, safetensors only and nothing from the repository runs.); Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Documentation and upkeep, Cola2 +12: BigBang-v1 46 (Model card 11 of 20, limitations, architecture and a cut-off are missing.); Cola2 58 (Model card 8, Intended use and limitations (the out-of-scope list, and the unconverged latent model) and the architecture are on the card and the GitHub model c…)