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schubydoo / clauster

Benchmark updated: 10/1/202630 Tasks
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Your homelab's Claude Code launchpad. Self-hosted web UI that spawns & manages remote-control bridges on a remote host from any browser or phone — start/stop, spawn & permission modes, CLAUDE.md editor, git clone, live log tail, cost tracking. Loopback by default; password/reverse-proxy auth. No telemetry.

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Python90.2%HTML8.6%Shell0.5%PowerShell0.3%JavaScript0.2%Dockerfile<0.1%Other0.1%

Harness

1

Mini-SWE-agent
29 / 30

$0.68

5m02s

2

Mini-SWE-agent
29 / 30

$0.15

8m23s

3

Mini-SWE-agent
29 / 30

$8.38

22m35s

4

Mini-SWE-agent
28 / 30

$3.12

10m24s

5

Mini-SWE-agent
27 / 30

$0.93

8m37s

6

Mini-SWE-agent
27 / 30

$1.49

9m04s

Key Takeaways

  • GPT-5.6 Sol with Mini-SWE-agent resolves 28 of 30 tasks, while Grok 4.5 and Muse Spark 1.2 with Mini-SWE-agent each resolve 27.
  • Among 29-task results, GPT-5.6 Luna with Mini-SWE-agent costs $0.15 per test, versus $0.68 for GPT-5.6 Terra and $8.38 for Claude Opus 5.
  • GPT-5.6 Terra with Mini-SWE-agent records 301.50 seconds average latency, compared with 503.12 for GPT-5.6 Luna and 1354.75 for Claude Opus 5.

Cost Analysis

Cost / Test vs. Accuracy
ACCURACYCOST

Average Token Use / Test

Token Usage
InputOutputReasoningCache readCache write

No token usage data available.

Cost is the clearest tradeoff in this comparison. Claude Opus 5 leads at 96.67% for $8.38 per test. GPT-5.6 Luna is the lower-cost option at 96.67% for $0.15 per test.

Latency Analysis

Latency vs. Accuracy
ACCURACYLATENCY

Average Response Time / Test

Response Time
Claude Opus 5
22m 35s
GPT-5.6 Sol
10m 24s
Muse Spark 1.2
9m 4s
Grok 4.5
8m 37s
GPT-5.6 Luna
8m 23s
GPT-5.6 Terra
5m 2s

Latency separates several models with similarly strong scores. Claude Opus 5 leads at 96.67%, while GPT-5.6 Terra is fastest at 5m 2s with 96.67% accuracy.