Vals ReverseEngBench (ReverseEngBench)
A contamination-resistant agent benchmark for reverse engineering real-world binaries.
Data verified 26 confirmed releases in the last 30 daysStart free briefHow BenchLM shows ReverseEngBench
BenchLM mirrors the public Vals AI ReverseEngBench leaderboard captured from https://www.vals.ai/benchmarks/reverse_eng and updated by Vals on August 10, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
ReverseEngBench is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
Snapshot
ReverseEngBench score on ReverseEngBench — August 10, 2026
We mirror the published reverseengbench score view for ReverseEngBench. GPT-5.6 Sol leads the public snapshot at 30.53%, followed by Claude Opus 5 (12.21%) and GPT-5.5 (3.82%). We do not use these results to rank models overall.
GPT-5.6 Sol
OpenAI
max reasoning
Claude Opus 5
Anthropic
GPT-5.5
OpenAI
xhigh reasoning
ReverseEngBench score table (5 models)
ScoreThe published ReverseEngBench snapshot places GPT-5.6 Sol first at 30.53%. The third row is 26.72 points behind. The broader top-10 range is 30.53 points, so the table still separates the published systems.
5 models have been evaluated on ReverseEngBench. The benchmark falls in the External benchmark mirrors category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. ReverseEngBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About ReverseEngBench
Year
2026
Tasks
Real-world binary reverse-engineering tasks
Format
Fully solved rate and capability score
Difficulty
Agentic reverse engineering
The first public table contains five model rows and reports fully solved and partial-capability scores. We keep it display only because Vals marks the dataset private and the result measures the complete agent setup.
BenchLM freshness & provenance
Version
ReverseEngBench 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does ReverseEngBench measure?
A contamination-resistant agent benchmark for reverse engineering real-world binaries.
Which model leads the published ReverseEngBench snapshot?
GPT-5.6 Sol currently leads the published ReverseEngBench snapshot with 30.53% reverseengbench score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on ReverseEngBench?
5 AI models are included in BenchLM's mirrored ReverseEngBench snapshot, based on the public leaderboard captured on August 10, 2026.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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