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Evaluation dossier

CTF-Archive-Diamond

How do agents solve a difficult CTF subset?

Sources and provenance ↓ Read the research narrative →

CROSS-REPORT MONITORING

PUBLISHED EVIDENCE

CTF-Archive-Diamond · benchmark_score

Published measurements across source reports. Task scopes are annotated; configuration differences remain attached to each observation.

7 observations · 7 dated

● Matched◇ Configuration differs□ Some conditions undisclosed
benchmark_score (%) OpenAI GPT-5.5 GPT-5.4 Anthropic Opus 4.6 Claude Opus 4.6 OpenAI GPT-5.4 mini DeepSeek V4 Pro Figure 2 HTML table, CTF-Archive-Diamond, DeepSeek V4 Pro (max) DeepSeek V4 Pro Figure 3(b), CTF-Archive Diamond, legend DeepSeek V4 Pro (max) 0 20 40 60 80 100 71% 54.4% 46% 45.6% 32% 32% 31.7%

Select a point or table row to inspect its conditions and provenance.

7 observations

Measurements and source conditions
System / modelResultCondition statusTask / conditionsEvaluator / reportDates
OpenAI GPT-5.5GPT-5.571%benchmark_scoreIncompleteCTF-Archive-Diamondxhigh1M weighted tokensInspect built-in ReAct agentNIST / CAISICAISI Evaluation of DeepSeek V4 ProRelease 2026-04-23Report 2026-05-01
GPT-5.454.4%benchmark_scoreIncompleteCTF-Archive Diamondxhigh1M weighted tokensInspect built-in ReAct agentNIST / CAISICAISI Evaluation of DeepSeek V4 ProRelease 2026-03-05Report 2026-05-01
Anthropic Opus 4.6Claude Opus 4.646%benchmark_scoreIncompleteCTF-Archive-Diamondmax1M weighted tokensInspect built-in ReAct agentNIST / CAISICAISI Evaluation of DeepSeek V4 ProRelease 2026-02-05Report 2026-05-01
Claude Opus 4.645.6%benchmark_scoreIncompleteCTF-Archive Diamondmax1M weighted tokensInspect built-in ReAct agentNIST / CAISICAISI Evaluation of DeepSeek V4 ProRelease 2026-02-05Report 2026-05-01
OpenAI GPT-5.4 miniGPT-5.4 mini32%benchmark_scoreIncompleteCTF-Archive-Diamondxhigh1M weighted tokensInspect built-in ReAct agentNIST / CAISICAISI Evaluation of DeepSeek V4 ProRelease 2026-03-17Report 2026-05-01
DeepSeek V4 Pro32%benchmark_scoreIncompleteCTF-Archive-Diamondmax1M weighted tokensInspect built-in ReAct agentNIST / CAISICAISI Evaluation of DeepSeek V4 ProRelease 2026-04-24Report 2026-05-01
DeepSeek V4 Pro31.7%benchmark_scoreIncompleteCTF-Archive Diamondmax1M weighted tokensInspect built-in ReAct agentNIST / CAISICAISI Evaluation of DeepSeek V4 ProRelease 2026-04-24Report 2026-05-01

Task and measurement

Benchmark protocol profile

Task / subject
The model or agent in the stated task configuration.
Measurement target
CAISI uses 285 difficult CTF challenges from the pwn.challenge collection; imputed model results are marked separately.
Scoring / outcome
Task accuracy · CAISI uses 285 difficult CTF challenges from the pwn.challenge collection; imputed model results are marked separately.
Interpretation boundary
CTF tasks are not live operational attacks; subset-imputed values are not directly observed full-set success rates.

CAISI uses 285 difficult CTF challenges from the pwn.challenge collection; imputed model results are marked separately.

A reported evaluation

The source evaluates GPT-5.5 (xhigh) · CTF-Archive-Diamond.

Run configuration: Inspect ReAct · 1M weighted tokens.

Reported measurement: Task accuracy · 71%.

CAISI uses 285 difficult CTF challenges from the pwn.challenge collection; imputed model results are marked separately. 285 difficult CTF tasks; DeepSeek score is imputed from a subset.

Source-reported measurements in Capability Results; Figure 2; *** footnote. Transcription is not independent experimental replication.

Measurement dossier · NUWA reading

Source-method reading and retained catalogue information are distinguished. Publication does not establish independent evidence or bilingual editorial review.

Measurement construct
How do models perform on CAISI’s harder CTF selection under a controlled agent budget?
Task population
The official report describes 285 pwn.challenge-derived tasks, Inspect ReAct and a one-million-weighted-token budget.
Scoring and failure modes
Task solve rate; the marked DeepSeek V4 score is IRT-imputed from a subset.
System conditions
285 CTF tasks; Inspect ReAct, 1M weighted tokens.
Statistical meaning
Source-reported result statements; this does not establish trial counts, denominators or an estimator: The report lists GPT-5.5 at 71%, Opus 4.6 at 46% and DeepSeek V4 Pro at 32%.
Validity and interpretation
The report gives a short benchmark description; held-out provenance, all run counts and raw imputation inputs are not audited here.
Appropriate research use
Model recommendation: preserve the imputation footnote and budget before comparing with independently run CTF suites.
  • CTF-Archive-Diamond · Capability Results: Figure 2 and *** footnoteSelected 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
  • CTF-Archive-Diamond · Benchmarks: CTF-Archive-DiamondSelected 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
  • CTF-Archive-Diamond · 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
  • CTF-Archive-Diamond · Appendix: IRTSelected 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

Evidence across reports

The same benchmark name can cover different tasks, scoring rules and system configurations. Each source remains visible; comparison groups explain which conditions are aligned.

NIST / CAISI

CAISI Evaluation of DeepSeek V4 Pro →

Actual evaluators: NIST / CAISI

11 result records · 10 reported system names

Protocols and comparison decisions (6)
Original source charts and materials

CTF-Archive-Diamond

Original evaluator results · source order

Task accuracy

0–100%
GPT-5.5 (xhigh)
71%
GPT-5.4 mini (xhigh)
32%
Claude Opus 4.6 (max)
46%
DeepSeek V4 Pro (max)
≈32% *
Showing 4 of 4 systems

CAISI uses 285 difficult CTF challenges from the pwn.challenge collection; imputed model results are marked separately.

CTF tasks are not live operational attacks; subset-imputed values are not directly observed full-set success rates. Report dates and original executor are shown with this assessment.

Evaluation conditions and system configurations
GPT-5.5 (xhigh)
285 difficult CTF tasks; DeepSeek score is imputed from a subset. · CTF-Archive-Diamond
modelVersion: GPT-5.5 (xhigh) · harness: Inspect ReAct · tools: CTF task environment · budget: 1M weighted tokens
GPT-5.4 mini (xhigh)
285 difficult CTF tasks; DeepSeek score is imputed from a subset. · CTF-Archive-Diamond
modelVersion: GPT-5.4 mini (xhigh) · harness: Inspect ReAct · tools: CTF task environment · budget: 1M weighted tokens
Claude Opus 4.6 (max)
285 difficult CTF tasks; DeepSeek score is imputed from a subset. · CTF-Archive-Diamond
modelVersion: Claude Opus 4.6 (max) · harness: Inspect ReAct · tools: CTF task environment · budget: 1M weighted tokens
DeepSeek V4 Pro (max)
285 difficult CTF tasks; DeepSeek score is imputed from a subset. · CTF-Archive-Diamond
modelVersion: DeepSeek V4 Pro (max) · harness: Inspect ReAct · tools: CTF task environment · budget: 1M weighted tokens
CTF-Archive-Diamond · source order
System / configurationTask accuracyPublication / verification
GPT-5.5 (xhigh)Inspect ReAct71%Published2026-05-01
GPT-5.4 mini (xhigh)Inspect ReAct32%Published2026-05-01
Claude Opus 4.6 (max)Inspect ReAct46%Published2026-05-01
DeepSeek V4 Pro (max)Inspect ReAct≈32%IRT-imputed, not directly observed.Published2026-05-01

Assessment provenance

CAISI Evaluation of DeepSeek V4 Pro → · External report

Related research questions

References

  1. [1] deepseek-v4-pro release ; News article title, dated heading and availability
  2. [2] deepseek-v4-pro developer model card ; Introduction; model comparison table
  3. [3] OpenAI — introducing gpt 5 5 ; Publication date and availability section; Parameter counts not disclosed in launch article
  4. [4] OpenAI — introducing gpt 5 4 ; Publication date and availability section; Parameter counts not disclosed in launch article
  5. [5] OpenAI — introducing gpt 5 4 mini and nano ; Publication date and availability section; Parameter counts not disclosed in launch article
  6. [6] Claude Opus 4.6 — Anthropic ; Publication date and availability section; Official launch article; parameter counts not disclosed
  7. [7] CAISI Evaluation of DeepSeek V4 Pro. 2026-05-01. 1 May 2026 ; Capability Results; Figure 2; *** footnote; Figure 2 HTML table, CTF-Archive-Diamond, OpenAI GPT-5.5 (xhigh); Figure 2 HTML table, CTF-Archive-Diamond, OpenAI GPT-5.4 mini (xhigh)