# BigBang-v1 vs Ornith-1.5-122B (slim)

> Ornith-1.5-122B 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-ornith-1-5-122b.md (~9,150 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/bigbang-v1-vs-ornith-1-5-122b.json · canonical https://www.anchorterminal.com/compare/bigbang-v1-vs-ornith-1-5-122b
- 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)

Ornith-1.5-122B scores 61 (C) on agent readiness against BigBang-v1's 56.3 (C), and leads in 2 of 4 scored categories. BigBang-v1 leads on risk and 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
- Ornith-1.5-122B: C 61, rank #81 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-122b.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 Risk, 55 against 50; Documentation and upkeep, 46 against 36.
- Ornith-1.5-122B, good for Local coding and terminal agents on a 128 GB unified-memory machine or a 96 GB GPU setup, where a clear licence file and an answering publisher aren't required Ahead on Reach, 75 against 60; Agent interface, 85 against 60.

| Category | BigBang-v1 | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 75 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 46 | 36 |

| Fact (where they differ) | BigBang-v1 | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | The Endless Frontier (endless-frontier) | Ornith |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-08-06 | 2026-10-24 |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Agent interface, Ornith-1.5-122B +25: BigBang-v1 60 (Chat template 20, the base's template in the repository.); Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.)
- Reach, Ornith-1.5-122B +15: 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.); Ornith-1.5-122B 75 (Memory 10, since Ornith's own MLX 4-bit build is 69.7 GB and needs about 83.6 GB with the fifth added, over 64 GB and inside the reference machine's 107.4 GB, a…)
- Documentation and upkeep, BigBang-v1 +10: BigBang-v1 46 (Model card 11 of 20, limitations, architecture and a cut-off are missing.); Ornith-1.5-122B 36 (Model card 11, it covers intended use, architecture, parameters and context but not limitations, languages or a knowledge cut-off.)
- Risk, BigBang-v1 +5: BigBang-v1 55 (File safety 25, safetensors only and nothing from the repository runs.); Ornith-1.5-122B 50 (File safety 25, safetensors and GGUF only and no Python in any of Ornith's repositories for this size, so the card's --trust-remote-code flag loads nothing from…)