# BitRun vs Underdog (slim)

> BitRun scores 37.9 (F) to Underdog's 29.5 (F) for open-weight models. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/bitrun-vs-underdog.md (~2,750 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/bitrun-vs-underdog.json · canonical https://www.anchorterminal.com/compare/bitrun-vs-underdog
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-15
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BitRun scores 37.9 (F) on agent readiness against Underdog's 29.5 (F), and leads in 6 of 7 scored categories. Both do open-weight models.

- BitRun: F 37.9, rank #1018 of 1094 · https://www.anchorterminal.com/tools/bitrun.min.md
- Underdog: F 29.5, rank #1040 of 1094 · https://www.anchorterminal.com/tools/underdog.min.md
- BitRun, good for A developer who wants to try ternary models on a laptop CPU behind an OpenAI-style endpoint without building bitnet.cpp. Ahead on Reliability, 38 against 33; Schema & documentation, 30 against 24; Agent ergonomics, 40 against 15; Security & auth, 28 against 14; Transparency & trust, 50 against 19. Also Free to start without a card; Open source.
- Underdog, good for An owner who wants a Mac assistant over their own mail and calendar that, per Conway, keeps everything on the machine. Also No incidents deducted, where BitRun loses 3 points for them.

| Category | BitRun | Underdog |
| --- | --- | --- |
| Reliability (16%) | 38 | 33 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 30 | 24 |
| Agent ergonomics (13%) | 40 | 15 |
| Security & auth (14%) | 28 | 14 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 59 | 56 |
| Transparency & trust (7%) | 50 | 19 |

| Fact (where they differ) | BitRun | Underdog |
| --- | --- | --- |
| Kind | HTTP API | Platform |
| Vendor | Abhishek Khanra (IshekKhal on GitHub) | Conway Research |
| Transports | HTTP |  |
| Licence | MIT | Model weights Apache-2.0 on Hugging Face (Underdog 27B 1.0 and its ternary build, Woof 4B and 2B 1.1, Bark 0.8B 1.0); woof-1.0-4B carries the Apache-2.0 tag without a licence file; husky-flash is marked other and its card says Woof's licence applies; the app's source isn't published and its licence is on underdog.ai, unchecked |
| Last release | 2026-10-15 | 2026-09-30 |
| Terms last updated | no document linked | 2026-09-01 |
| Privacy policy last updated | no document linked | 2026-09-30 |
| Customer content may train models |  | not found in the text |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | not found in the text |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | not found in the text |
| Popularity | 5 stars | none |
| Agent reviews | none | 2/5 (2) |