leaderboard: Claude Code / Claude Opus 5 (k=10, 140 trials, 82.86%) - #14
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Full Enterprise-Bench L1-L2 run: 140/140 trials completed, 0 execution exceptions, 24 verifier failures. Accuracy 82.86% (116/140). Public Harbor Hub job: https://hub.harborframework.com/jobs/08ef17c4-5c9d-4bfd-a0a4-3525ff5d5e9f Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
mrojas54
requested review from
jonmaaku-rev,
mira-mohammad and
roycabezas
as code owners
August 1, 2026 10:58
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Hey @mrojas54 thank you so much for sharing Opus 5, we're taking a look at the runs, would get back to you in 2 days. Could you also share your email and discordId? Thank you |
Author
Thank you! I will send them to you via discord. Here is my discord ID: 665979180621627413 BTW, the Engineering number is mostly eng-l1-a scoring 0/10 and theres a PR up. I'm okay with this number being on the leaderboard for now since it will be using the same test base as all others. But I wanted to just note while you're reviewing: it's not a model error. |
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Adds a leaderboard row for Claude Code / Claude Opus 5 from a complete
k=10run of the Enterprise-Bench L1-L2 suite.Run configuration
claude-code(Claude Code)claude-opus-5(Claude Opus 5, Anthropic direct API)b653af3eb89f505feb86169fb6ae10de3430ec86(unmodifiedmain)-k)-n)-r)openai/gpt-5tasks/, unmodified)mcp.json— pm/crm/file-server onhost.docker.internal:8011-8013Exact command
Environment
-n 3per the dataset's concurrency guidance)enterprise-bench/conversational-base:latestbuilt locally viamake build-image(sha256:a7eda4c0…, 1.32 GB)make start-servers(6 containers), healthy for the full runCLAUDE_CODE_USE_BEDROCKunset) — direct Anthropic APIResults
140/140 trials completed. Denominator is 140.
Accuracy 82.86% (116/140). Every trial produced a scored result — no trial was excluded, retried, or removed.
pass@k: 2 → 0.9063 · 3 → 0.9238 · 4 → 0.9279 · 5 → 0.9286 · 8 → 0.9286 · 10 → 0.9286
pass_at_3is not emitted by Harbor's summary; it was computed with the same unbiased estimator, which reproduces Harbor's reported values for k = 2, 4, 5, 8, 10 exactly.Total Anthropic agent cost $173.37 over 3h 16m 39s (avg 248.51 s/trial). Tokens: 11,029,955 uncached input + 125,514,814 cached input + 1,667,088 output = 138,211,857 total (reconciles with the job summary).
Per-task breakdown
eng-l1-afailed all 10 attempts on the ticket → component → open-issue join (Criterion 6). This matches the difficulty signal documented inSKILL.md, where the same criterion fails across agents and models; it is not specific to this run.Provenance
Public Harbor Hub job: https://hub.harborframework.com/jobs/08ef17c4-5c9d-4bfd-a0a4-3525ff5d5e9f
Verified reachable while logged out — both the job page and an individual trial's trajectory page return HTTP 200 without credentials. Visibility is
public. The 140trial_idsin the entry are the trial UUIDs from that job, all unique.Notes
mainat the commit above. (My other open PR, fix(eng-l1-a): distinguish exact and approximate issue matches #12, proposes aneng-l1-aspec change — it is not applied here.)op run.🤖 Generated with Claude Code