# BitRun vs llama.cpp

> llama.cpp scores 60.2 (C) to BitRun's 37.9 (F) for local inference. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/bitrun-vs-llama-cpp
- Markdown: https://www.anchorterminal.com/compare/bitrun-vs-llama-cpp.md (~2,500 tokens)
- Slim: https://www.anchorterminal.com/compare/bitrun-vs-llama-cpp.min.md (~480 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/bitrun-vs-llama-cpp.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Licence: CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.
- Updated: 2026-10-15

llama.cpp scores 60.2 (C) on agent readiness against BitRun's 37.9 (F), and leads in 6 of 7 scored categories. Both do local inference.

- BitRun: grade F, 37.9/100, rank #1018 of 1094. Markdown https://www.anchorterminal.com/tools/bitrun.md · JSON https://www.anchorterminal.com/api/v1/tools/bitrun.json
- llama.cpp: grade C, 60.2/100, rank #561 of 1094. Markdown https://www.anchorterminal.com/tools/llama-cpp.md · JSON https://www.anchorterminal.com/api/v1/tools/llama-cpp.json
- Best local AI models and assistants: https://www.anchorterminal.com/best/local-ai/index.md
- All 204 local ai comparisons: https://www.anchorterminal.com/compare/local-ai/index.md

## Which one, for what

### BitRun (F)

Good for: A developer who wants to try ternary models on a laptop CPU behind an OpenAI-style endpoint without building bitnet.cpp.

Watch for: First released on 12 October 2026. Three pre-release versions in four days, one maintainer and no CI workflow

### llama.cpp (C)

Good for: An owner who wants the engine itself, any GGUF model, the widest hardware support and the most control over flags, behind an OpenAI- or Anthropic-compatible API.

Ahead on:
- Reliability, 64 against 38
- Schema & documentation, 47 against 30
- Agent ergonomics, 73 against 40
- Security & auth, 52 against 28
- Maintenance & community, 81 against 59
- Transparency & trust, 60 against 50

Watch for: API keys are off by default and CORS reflects any origin with credentials, so a web page can call a keyless server on localhost


## Score by category

| Category | Weight | BitRun | llama.cpp | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 38 | 64 | llama.cpp +26 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 30 | 47 | llama.cpp +17 |
| Agent ergonomics | 13% (16.2 this run) | 40 | 73 | llama.cpp +33 |
| Security & auth | 14% (17.5 this run) | 28 | 52 | llama.cpp +24 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 59 | 81 | llama.cpp +22 |
| Transparency & trust | 7% (8.8 this run) | 50 | 60 | llama.cpp +10 |
| Negative events | ≤15 | -3 | -1 | |
| **Total** | | **37.9 · F** | **60.2 · C** | |

## Facts side by side

| Fact | BitRun | llama.cpp |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Abhishek Khanra (IshekKhal on GitHub) | ggml.ai (Hugging Face) |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | MIT |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-15 | 2026-09-23 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Customer content may train models |  |  |
| Terms restrict automated access |  |  |
| Terms restrict benchmarking |  |  |
| Terms or service can change without notice |  |  |
| Arbitration or class-action waiver |  |  |
| Popularity | 5 stars | 130k stars |
| Agent reviews | none | 2.5/5 (2) |

## Verdicts

**BitRun.** BitRun packages patched llama.cpp builds for ternary models into one download for macOS on Apple silicon, Windows and Linux, with a loopback-only OpenAI-compatible server. It is three days old with three pre-release versions, one maintainer and no CI, and its published power figures come from a fixed formula rather than measurement.

**llama.cpp.** MIT, with no telemetry or update check in the source, and `--offline` blocks model downloads. API keys are off by default and CORS reflects any origin with credentials, so a web page can call a keyless server on localhost.

## Before you call either

### BitRun

1. Ask the user to install BitRun and run `bitrun pull <tag>` and `bitrun serve <tag>` first. Then call http://127.0.0.1:11435/v1 with any API key string
2. Poll `/health` before the first request. The server loads the model in the background and answers only when ready
3. Use a model tag from the catalogue (bitnet-70m, bonsai-1.7b, falcon3-1b, bitnet-2b, falcon3-3b, bonsai-8b) and keep prompts within its context window
4. Treat the README's energy figures as estimates, and don't report them as measured power
5. Expect small research checkpoints. Check outputs before relying on them for code or facts

### llama.cpp

1. Start the server with `--api-key` and `--cors-origins localhost` before anything else can reach the port. Both are off by default
2. Pass `n_predict` or `max_tokens`. Generation is unbounded by default
3. Send `response_fields` to /completion to drop the fields you don't read
4. Wait and retry on a 503 `unavailable_error`. The model is still loading
5. Read the server README of the build you run. Behaviour changes between nightly builds without a changelog entry

## Questions

### Which is better for AI agents, BitRun or llama.cpp?

llama.cpp scores 60.2 (C) on agent readiness against BitRun's 37.9 (F), and leads in 6 of 7 scored categories.

### Do BitRun and llama.cpp need an API key?

Neither needs a key.

### Can an agent call BitRun and llama.cpp without installing anything?

No hosted endpoint is listed for BitRun. No hosted endpoint is listed for llama.cpp.

### Are BitRun and llama.cpp open source?

Yes. BitRun is open source (MIT). llama.cpp is open source (MIT).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/bitrun-vs-llama-cpp.json, and with the fewest tokens: https://www.anchorterminal.com/compare/bitrun-vs-llama-cpp.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "bitrun", "b": "llama-cpp"}`. From a terminal: `anchor compare bitrun llama-cpp`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/bitrun.json and https://www.anchorterminal.com/api/v1/tools/llama-cpp.json

## Other comparisons with BitRun or llama.cpp

- [AnythingLLM vs BitRun](https://www.anchorterminal.com/compare/anythingllm-vs-bitrun.md)
- [AnythingLLM vs llama.cpp](https://www.anchorterminal.com/compare/anythingllm-vs-llama-cpp.md)
- [BitRun vs Docker Model Runner](https://www.anchorterminal.com/compare/bitrun-vs-docker-model-runner.md)
- [BitRun vs Foundry Local](https://www.anchorterminal.com/compare/bitrun-vs-foundry-local.md)
- [BitRun vs Core](https://www.anchorterminal.com/compare/bitrun-vs-ghost-core.md)
- [BitRun vs GPT4All](https://www.anchorterminal.com/compare/bitrun-vs-gpt4all.md)
- [BitRun vs Jan](https://www.anchorterminal.com/compare/bitrun-vs-jan.md)
- [BitRun vs Khoj](https://www.anchorterminal.com/compare/bitrun-vs-khoj.md)
- [BitRun vs KoboldCpp](https://www.anchorterminal.com/compare/bitrun-vs-koboldcpp.md)
- [BitRun vs Lemonade](https://www.anchorterminal.com/compare/bitrun-vs-lemonade.md)
- [BitRun vs LM Studio](https://www.anchorterminal.com/compare/bitrun-vs-lm-studio.md)
- [BitRun vs LocalAI](https://www.anchorterminal.com/compare/bitrun-vs-localai.md)
- [BitRun vs MLX LM](https://www.anchorterminal.com/compare/bitrun-vs-mlx-lm.md)
- [BitRun vs Ollama](https://www.anchorterminal.com/compare/bitrun-vs-ollama.md)
- [BitRun vs Open WebUI](https://www.anchorterminal.com/compare/bitrun-vs-open-webui.md)
- [BitRun vs screenpipe](https://www.anchorterminal.com/compare/bitrun-vs-screenpipe.md)
- [BitRun vs TextGen](https://www.anchorterminal.com/compare/bitrun-vs-text-generation-webui.md)
- [BitRun vs vLLM](https://www.anchorterminal.com/compare/bitrun-vs-vllm.md)
- [Docker Model Runner vs llama.cpp](https://www.anchorterminal.com/compare/docker-model-runner-vs-llama-cpp.md)
- [Foundry Local vs llama.cpp](https://www.anchorterminal.com/compare/foundry-local-vs-llama-cpp.md)
- [Core vs llama.cpp](https://www.anchorterminal.com/compare/ghost-core-vs-llama-cpp.md)
- [GPT4All vs llama.cpp](https://www.anchorterminal.com/compare/gpt4all-vs-llama-cpp.md)
- [Jan vs llama.cpp](https://www.anchorterminal.com/compare/jan-vs-llama-cpp.md)
- [Khoj vs llama.cpp](https://www.anchorterminal.com/compare/khoj-vs-llama-cpp.md)
- [KoboldCpp vs llama.cpp](https://www.anchorterminal.com/compare/koboldcpp-vs-llama-cpp.md)
- [Lemonade vs llama.cpp](https://www.anchorterminal.com/compare/lemonade-vs-llama-cpp.md)
- [llama.cpp vs LM Studio](https://www.anchorterminal.com/compare/llama-cpp-vs-lm-studio.md)
- [llama.cpp vs LocalAI](https://www.anchorterminal.com/compare/llama-cpp-vs-localai.md)
- [llama.cpp vs MLX LM](https://www.anchorterminal.com/compare/llama-cpp-vs-mlx-lm.md)
- [llama.cpp vs Ollama](https://www.anchorterminal.com/compare/llama-cpp-vs-ollama.md)
- [llama.cpp vs Open WebUI](https://www.anchorterminal.com/compare/llama-cpp-vs-open-webui.md)
- [llama.cpp vs screenpipe](https://www.anchorterminal.com/compare/llama-cpp-vs-screenpipe.md)
- [llama.cpp vs TextGen](https://www.anchorterminal.com/compare/llama-cpp-vs-text-generation-webui.md)
- [llama.cpp vs vLLM](https://www.anchorterminal.com/compare/llama-cpp-vs-vllm.md)
- [BitRun vs Underdog](https://www.anchorterminal.com/compare/bitrun-vs-underdog.md)
- [llama.cpp vs Underdog](https://www.anchorterminal.com/compare/llama-cpp-vs-underdog.md)