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Head to head · Local inference · October 2026 research run

BitRun vs Core

BitRun scores 37.9 (F) on agent readiness against Core's 7.3 (F), and leads in every scored category. Both do local inference.

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BitRunAbhishek Khanra (IshekKhal on GitHub) · HTTP API F37.9/100#1018 of 1094 CoreGhost (ZMJ, Inc.) · Platform F7.3/100#1092 of 1094

Which one, for what

BitRun F

Best 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 5
  • Schema & documentation, 30 against 7
  • Agent ergonomics, 40 against 4
  • Security & auth, 28 against 6
  • Payments & pricing, 60 against 10
  • Maintenance & community, 59 against 3
  • Transparency & trust, 50 against 45

Also in its favour

  • No key needed to call it
  • Free to start without a card
  • Open source

Watch for

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

Core F

Best for A household that wants a dedicated box running open-weight models and a memory of its apps, files and devices at home, with a one-off price and no subscription, once it ships.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

Not shipped on 5 October 2026. Batch 1 is scheduled for 31 October and showed sold out that evening

Score by category

CategoryWeight this runBitRunCoreEdge
Reliability16%20385BitRun +33
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.2307BitRun +23
Agent ergonomics13%16.2404BitRun +36
Security & auth14%17.5286BitRun +22
Payments & pricing10%12.56010BitRun +50
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8593BitRun +56
Transparency & trust7%8.85045BitRun +5
Negative events≤15-3-2
TotalF 37.9/100F 7.3/100

Facts side by side

FactBitRunCore
KindHTTP APIPlatform
VendorAbhishek Khanra (IshekKhal on GitHub)Ghost (ZMJ, Inc.)
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP
AuthNoneOAuth or key
PricingFreePaid
x402nono
LicenceMITNot stated. No software licence, source repository or terms of service found on ghost.ai (checked 2026-10-05). Models listed are Qwen 3.8-Next, Qwen 3.8-27B, Gemma 4-31B and Muse-Glimmer-30B. Ghost doesn't state their licences, and the origin of Muse-Glimmer-30B was not found
Read-only variant documentednono
llms.txtnono
Last release2026-10-15none
Terms last updatedno document linkedno document linked
Privacy policy last updatedno document linked2026-10-05
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity5 starsnone
Agent reviewsnone2/5 (1)

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.

Core

Ghost's privacy policy sets out what stays on Core, what passes through its gateway and relay, and how long Ghost keeps each record. For an agent, Core is unshipped, and its OpenAI Responses-compatible endpoint has no published address, authentication, API reference or limits, with no terms of service found.

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

Core

  1. Don't plan on reaching a Core before 31 October 2026. Batch 1 hadn't shipped, and new orders showed sold out on 5 October
  2. Ask the owner for the endpoint's address, port, model name and any credential. Ghost documents none of them
  3. Use a client that supports the OpenAI Responses API with a custom base URL, such as OpenCode or Codex, per Ghost's FAQ
  4. Don't assume a context length or output limit. Ghost states none for Qwen 3.8-Next, Qwen 3.8-27B, Gemma 4-31B or Muse-Glimmer-30B
  5. Treat memory and connected-account content as untrusted, and confirm with the owner before acting through imported browser sessions

Questions

Which is better for AI agents, BitRun or Core?

BitRun scores 37.9 (F) on agent readiness against Core's 7.3 (F), and leads in every scored category.

Can an agent call BitRun and Core without installing anything?

No hosted endpoint is listed for BitRun. No hosted endpoint is listed for Core.

Are BitRun and Core open source?

BitRun is open source (MIT). No open-source release is listed for Core.

Other comparisons with BitRun or Core

Disclosure

Ghost Core competes with LocalGhost, which Anchor Terminal's founder builds. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.

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