Evmbench
Open benchmark for AI agents on high-severity smart contract vulnerabilities
evmbench is a must-use for anyone benchmarking LLMs on real smart contract security. It's free, open-source, and backed by OpenAI and Paradigm. Unlike SWE-bench or Cybench, it focuses on high-severity vulnerabilities and tests exploitation, making it uniquely relevant for AI safety and blockchain security teams. Not a production audit tool, but an essential evaluation framework.
Verified 1d ago · liveness 60/100 · cite: rightaichoice.com/tools/evmbench
- AI safety researchers evaluating model capability
- Blockchain security auditors testing AI tools
- Crypto engineering teams benchmarking LLMs on code tasks
- Open-source contributors advancing AI+security tools
- Beginners without smart contract security expertise
- Teams needing full production security audits
- Non-Ethereum blockchain support
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Skip evmbench if you need a production vulnerability scanner, full audit reports with exploit details, or support for non-Ethereum blockchains — it's a benchmark, not an audit tool.
evmbench is completely free and open-source, so there are no subscription costs or usage limits. The only 'cost' is your time to set up the environment and run the benchmark. For budget-constrained researchers and startups, it's a zero-cost way to evaluate AI agents, whereas commercial tools like Slither Prime or CertiK can charge per audit or per use.
In short
Evmbench — Open benchmark for AI agents on high-severity smart contract vulnerabilities. Best for AI safety researchers evaluating model capability, Blockchain security auditors testing AI tools, Crypto engineering teams benchmarking LLMs on code tasks. Free to use.
What people actually say about Evmbench — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
39 mentions across 4 sources (Hacker News, YouTube, Bluesky, GitHub) · researched Jul 6, 2026.
- +Open-source benchmark by OpenAI and Paradigm with strong credibility.
- +Standardized evaluation framework for comparing AI models on security tasks.
- +Tests detection, patching, and exploitation of high-severity vulnerabilities.
- +Detection-only mode reduces noise by reporting only severe findings.
- +Web-based interface makes it easy to upload contracts and start analysis.
- −Data contamination undermines trust in benchmark results.
- −Invalid vulnerability classifications reduce ground truth reliability.
- −Patch and exploit pipelines not yet open-sourced, limiting full evaluation.
- −Only OpenAI models officially supported; Claude users need forks.
- −Criticism from firms like OpenZeppelin and BlockSec hurts credibility.
- • Requires your own API key for OpenAI models, incurring usage costs
Viability Score
How well maintained and how widely used is Evmbench? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Benchmark for AI agents on smart contract vulnerabilities
- Detects high-severity vulnerabilities
- Evaluates exploitation and patching capabilities (full benchmark)
- Upload folder or ZIP of contract source code
- Standardized evaluation across AI models
- Reports only high-severity findings in web interface
- Web-based interface for analysis runs
- Open-source and freely available
- Backed by OpenAI and Paradigm
- Reproducible model comparisons
About Evmbench
evmbench is an open benchmark from OpenAI and Paradigm that evaluates whether AI agents can detect, patch, and exploit high-severity vulnerabilities in smart contracts. Designed for security researchers, AI developers, and blockchain engineers, it provides a standardized framework to measure AI performance on realistic, high-impact contract security tasks. Unlike simple static analysis tools, evmbench requires AI to understand exploit paths and generate patches, pushing the frontier of AI in blockchain security. The web-based interface focuses on detection only, reporting high-severity findings from uploaded contract folders. This benchmark is freely available and open-source, enabling reproducible comparisons across AI models. evmbench moves beyond code review by testing exploitation capabilities, setting it apart from benchmarks like SWE-bench or Cybench that focus on general code tasks.
Behind the Verdict
evmbench fills a specific and important niche: measuring how well AI agents handle high-severity smart contract vulnerabilities. The core value is in its benchmark design — requiring detection, patching, and exploitation — which goes beyond simple code review. The web interface is simple: you upload a folder or ZIP of contract source and get high-severity findings. It's free and open-source, so you can reproduce results and compare models yourself. The main limitations: it only reports detections, not exploit paths or patches, and it's not a tool for production audits. It's best for evaluating AI models and for research, not for securing your live contracts. If you're a security auditor looking for a production scanner, you'd use something like Slither or Mythril combined with manual review. For AI safety researchers, it's a gold standard. For crypto teams, it's a way to vet LLM tools before adopting them.
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Real-world workflow fit
Concrete scenarios for the personas Evmbench actually fits — and what changes day-one when you adopt it.
You want to compare GPT-5.5 and Claude Opus 4.7 on smart contract vulnerability detection.
Outcome: Upload a folder of vulnerable contracts to the evmbench web interface, start a run for each model, then compare high-severity findings to see which model performs better.
You're evaluating whether to adopt an AI-assisted audit workflow and need to test its effectiveness.
Outcome: Use evmbench to run your existing AI tools on a standardized set of contracts, measuring detection rates and understanding where they fail on high-severity issues.
Your team is considering an LLM-based code review tool, and you need to benchmark it against alternatives.
Outcome: Run your candidate tools through evmbench to see which reliably catches critical bugs, then make an informed purchasing decision.
Use Cases
- Evaluate how well different AI models detect critical smart contract bugs
- Benchmark AI agents for automated vulnerability patching
- Standardize testing of LLM capabilities on blockchain security tasks
- Compare AI performance on high-severity findings across model versions
- Quantify AI exploitation capabilities for research and development
Limitations
- evmbench is an open benchmark for evaluating AI agents on high-severity smart contract vulnerabilities.
- The web interface focuses on detection and only reports high-severity findings, not full exploit paths or patches; those are part of the benchmark but not surfaced in the UI.
- It accepts contract folder or ZIP uploads.
as of 2026-08-27
Verification history
We have re-verified Evmbench 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Evmbench's pricing actually pencils out — and where peers do it cheaper.
evmbench is completely free and open-source, so there are no subscription costs or usage limits. The only 'cost' is your time to set up the environment and run the benchmark. For budget-constrained researchers and startups, it's a zero-cost way to evaluate AI agents, whereas commercial tools like Slither Prime or CertiK can charge per audit or per use.
Setup time & first value
How long it actually takes to get something useful out of Evmbench — broken out by persona, not the marketing-page minute.
For the web interface, you can upload a folder or ZIP and start a run within minutes — no local setup. For the full benchmark (including patching and exploitation), you'll need to clone the repository and set up a Python environment, which could take 30-60 minutes. Deep familiarity with the benchmark's task formats will add time to interpret results.
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Evmbench
Common stack mates teams adopt alongside Evmbench, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Evmbench vs Sublime Security
Evmbench is a free, open-source benchmark for researchers and auditors testing AI on smart contract security, while Sublime Security is a paid enterprise email security platform protecting against advanced phishing and social engineering. Choose Evmbench if your focus is AI safety research on blockchain code; choose Sublime if you need a production-grade email defense for your organization.
Evmbench vs Audioeye
Evmbench and AudioEye serve entirely different purposes with no overlap. Evmbench is a free, open-source benchmark for evaluating AI agents' ability to detect and exploit smart contract vulnerabilities, aimed at AI safety researchers and blockchain auditors. AudioEye is a paid enterprise platform for web accessibility compliance, integrating with CMS and offering scanning, remediation, and legal support. Choose based on your need: AI security benchmarking or accessibility compliance.
Evmbench vs Push Security
These tools serve completely different purposes and should not be considered alternatives. Push Security is a commercially focused browser security platform for enterprise teams dealing with phishing, session hijacking, and AI tool governance across major browsers. Evmbench is an open-source research benchmark specifically for evaluating AI agents on Ethereum smart contract vulnerabilities. Your choice depends entirely on whether you need browser-based threat detection or AI model evaluation in blockchain security.
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