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PortBench

NUWA research note · independent review pending

First published: Source checked: 2026-10-25
NUWA Research NoteResearch questionDesign and assumptionsSource findingsNUWA interpretationLimits and contrary evidenceResearch and decision relevanceInstitutions and rolesOriginal resources

Model-assisted reading · Selected sections of the original full text or official article; a complete section-by-section audit remains pending.

At a glance

NUWA interpretation: these percentages summarize graded porting performance, not necessarily fully solved task fractions.

Research question

Can agents port command-line tools across languages using a reference implementation?

Design and assumptions

CAISI’s nonpublic benchmark tests cross-language CLI porting with Inspect ReAct and a one-million-weighted-token budget.

Source findings

The report lists GPT-5.5 at 78%, Opus 4.6 at 60% and DeepSeek V4 Pro at 44%.

PortBench uses continuous scoring and was excluded from the report’s binary-success cost comparison.

NUWA interpretation

NUWA interpretation: these percentages summarize graded porting performance, not necessarily fully solved task fractions.

Limits and contrary evidence

The official report promises a fuller benchmark description; task counts, score granularity and full validation remain undisclosed in this source.

Research and decision relevance

Model recommendation: label continuous scoring explicitly and withhold binary success or cost-equivalence interpretations.

Precise source locations
  • PortBench · Capability Results: Figure 2Selected original resource https://www.nist.gov/news-events/news/2026/05/caisi-evaluation-deepseek-v4-pro; sha256:37f75aab5640e04d198b94a0ca57704b06d7823caeeb05c4280c8fc461b00623; archived source capture; exact capture time not independently established
  • PortBench · Benchmarks: PortBenchSelected original resource https://www.nist.gov/news-events/news/2026/05/caisi-evaluation-deepseek-v4-pro; sha256:37f75aab5640e04d198b94a0ca57704b06d7823caeeb05c4280c8fc461b00623; archived source capture; exact capture time not independently established
  • PortBench · Capability Lag Measurement: token budgetsSelected original resource https://www.nist.gov/news-events/news/2026/05/caisi-evaluation-deepseek-v4-pro; sha256:37f75aab5640e04d198b94a0ca57704b06d7823caeeb05c4280c8fc461b00623; archived source capture; exact capture time not independently established
  • PortBench · DeepSeek V4 Costs Less Than Other Models Of Similar Capability: exclusionsSelected original resource https://www.nist.gov/news-events/news/2026/05/caisi-evaluation-deepseek-v4-pro; sha256:37f75aab5640e04d198b94a0ca57704b06d7823caeeb05c4280c8fc461b00623; archived source capture; exact capture time not independently established

Source checking, extraction, editorial approval and replication are recorded separately. Methodology →

Institutions and roles

Evaluation protocols

PortBench →

Cite and reuse

Cite the original publication for its findings. Cite this NUWA record separately for its explanation and retained snapshot.

Original publication · BibTeX
@misc{portbench,
  title = {PortBench},
  url = {https://www.nist.gov/news-events/news/2026/05/caisi-evaluation-deepseek-v4-pro},
  year = {2026},
  date = {2026-05-01},
  version = {2026-10-25 source capture},
  note = {2026-10-25 source capture}
}
NUWA record · BibTeX
@misc{portbench-nuwa,
  title = {PortBench — NUWA research record},
  url = {https://whitzard.tech/en/nuwa/whitzard-index/work/portbench/},
  version = {2026-10-29.1},
  organization = {NUWA Frontier AI Safety Lab},
  howpublished = {Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--portbench.json},
  note = {NUWA research note. Source-reading scope and independent review status are stated on the record. Snapshot 2026-10-29.1. Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--portbench.json.}
}

Evidence snapshot 2026-10-29.1 · Index updates · RSS

References

  1. [1] PortBench. 2026-05-01 ; Capability Results: Figure 2; Benchmarks: PortBench; Capability Lag Measurement: token budgets