Real-World AI Benchmark Data for Model Development & Research
Access tens of thousands of production-style benchmark runs across 20+ models. Raw outputs, failure patterns, version tracking, and safety testing data.
20+
Models Tracked
Hourly (24/7/365)
Test Frequency
Tens of thousands
Test Executions
7
Performance Axes
Comprehensive AI Performance Intelligence
Six categories of data providing deep insights into AI model behavior and performance.
Raw LLM Outputs
Complete model responses before code extraction. Extraction success/failure classification, response structure analysis, and failure type taxonomy.
Value
Understand how models actually respond, not just pass/fail
Use Case
Model debugging, prompt engineering research, output format optimization
API Version Tracking
Response headers and metadata from every request. Model version fingerprinting, performance correlation with version updates, and silent update detection.
Value
Track model evolution over time
Use Case
Regression detection, version comparison, performance trend analysis
Per-Test-Case Results
Individual test execution results with detailed error messages, stack traces, execution timing, and edge case identification.
Value
Granular insight into specific failure modes
Use Case
Targeted model improvement, weakness identification
Safety & Adversarial Testing
Jailbreak attempt results, safety compliance testing, refusal pattern analysis, and adversarial prompt library.
Value
Understand model safety boundaries
Use Case
Safety research, alignment work, red teaming
7-Axis Performance Metrics
Correctness (35%), Spec Compliance (15%), Code Quality (15%), Efficiency (10%), Stability (10%), Refusal Rate (10%), Recovery (5%).
Value
Multi-dimensional performance understanding
Use Case
Holistic model evaluation, weakness identification
Historical Performance Data
Complete benchmark history, performance trends over time, model comparison timelines, and regression detection.
Value
Long-term performance tracking
Use Case
Model evolution analysis, competitive intelligence
Production-Grade Benchmark Data
Continuous, real-world data collection at scale.
Scale & Freshness
- Hourly benchmark runs (24/7/365)
- 20+ models tested continuously
- Multiple test suites (7-axis, reasoning, tooling)
- Thousands of unique test cases
- Real-time version tracking
Quality & Coverage
- Real production-style coding tasks
- Not synthetic or cherry-picked examples
- Diverse task types (UI, backend, algorithms, debugging)
- Multiple programming languages
- Actual API responses (not simulated)
Model Coverage
Who Benefits from Our Data
Trusted by AI developers, researchers, enterprises, and safety organizations.
AI Model Developers
Identify failure patterns in production scenarios. Understand real-world performance vs benchmarks. Track model improvements over versions.
ROI
Faster model improvement cycles, targeted optimization
Research Institutions
Large-scale performance analysis. Failure mode research. Safety and alignment studies. Comparative model analysis.
ROI
Rich dataset for academic research, publication-ready data
Enterprise AI Teams
Model selection for production use. Performance monitoring. Cost-benefit analysis. Risk assessment.
ROI
Better model selection, reduced production failures
AI Safety Organizations
Jailbreak pattern analysis. Safety boundary testing. Refusal behavior research. Adversarial robustness.
ROI
Comprehensive safety insights, red team data
Flexible Access Options
Choose the tier that fits your needs, from research projects to enterprise deployments.
Research License
Perfect for academic research, small teams, and proof of concept projects.
- Aggregated benchmark results
- 7-axis performance data
- Historical trends (6-12 months)
- Anonymized failure patterns
- CSV/JSON exports
- One-time data export
Professional License
Ideal for AI companies, model developers, and enterprise teams.
- Everything in Research
- Raw LLM outputs (sanitized)
- API version tracking data
- Per-test-case results
- Quarterly data updates
- Email support
- API access
Enterprise License
For major AI labs, large enterprises, and research consortiums.
- Everything in Professional
- Full raw dataset access
- Safety/jailbreak test results
- Real-time data API
- Custom data exports
- White-label reports
- Dedicated support
- Custom benchmark requests
Custom Partnerships
Need something unique? We offer data sharing agreements, co-development opportunities, custom benchmark development, and white-label benchmark services.
Discuss Custom PartnershipSee What You Get
Explore sample datasets to understand the depth and quality of our data.
Sample Data Includes
- 100-500 benchmark runs
- 3-5 models
- 7-axis scores
- Anonymized failure examples
- Version tracking samples
- Data schema documentation
Data Format & Delivery
Flexible formats and delivery methods to fit your workflow.
Data Formats
- CSV (for spreadsheet analysis)
- JSON (for programmatic access)
- Parquet (for big data processing)
- SQL dumps (for database import)
- Custom formats available
Delivery Methods
- Secure download links
- SFTP/S3 bucket access
- REST API (Enterprise tier)
- GraphQL API (Enterprise tier)
- Direct database access (Custom)
Update Frequency
- Research: One-time or annual
- Professional: Quarterly
- Enterprise: Real-time or monthly
- Custom: Negotiable
Data Privacy
- No user data included
- Anonymized test cases
- Sanitized outputs (PII removed)
- GDPR & data protection compliant
Frequently Asked Questions
How is this data collected?
We run automated benchmarks every hour against 20+ AI models using production-style coding tasks. Every response is captured, analyzed, and stored with full metadata.
Is this data publicly available?
No. Aggregated scores are public on aistupidlevel.info, but raw outputs, failure patterns, and detailed analytics are only available through licensing.
Can I use this data for model training?
Yes, with appropriate licensing. Enterprise licenses include rights for model training and research publication.
How often is the data updated?
We collect data hourly. Update frequency for licensees depends on tier (quarterly for Professional, real-time for Enterprise).
What makes this data valuable?
Unlike synthetic benchmarks, this is real-world performance data showing how models actually behave in production scenarios, including failures, edge cases, and version changes.
Can I request custom benchmarks?
Yes, Enterprise and Custom Partnership tiers include custom benchmark development.
Do you offer academic discounts?
Yes, contact us for academic pricing and research partnerships.
What's the difference between this and public benchmarks?
Public benchmarks show final scores. We provide raw outputs, failure analysis, version tracking, and granular per-test results that reveal WHY models succeed or fail.
Get Started with AI Benchmark Data
Access comprehensive real-world AI performance data. Contact us to discuss your needs and get a custom quote.
Contact: ionutvisan@studioplatforms.eu
Response time: Within 24-48 hours