Investigation Quality Benchmark Overview
Generated: January 16, 2026
Models Analyzed: 5
Total Benchmark Runs: 79
1. Quality Rankings
Rankings based on average overall investigation score.2. Cost Analysis
3. Performance Metrics
4. Evaluation Criteria Breakdown
5. Efficiency Analysis
6. Qualitative Analysis
gpt-5.2
Strengths
- High quality investigation output
- Thorough tool utilization
- Strong in reasoning quality
Weaknesses
- Inconsistent quality - high variance
- High cost per investigation
- Slow response time
- Poor quality-to-cost ratio
gpt-4.1-nano
Strengths
- High quality investigation output
- Very cost-effective
- Fast response time
- Thorough tool utilization
- Token-efficient reasoning
- Excellent quality-to-cost ratio
Weaknesses
- Weak in tool usage
gpt-4.1
Strengths
- High quality investigation output
- Thorough tool utilization
Weaknesses
- Inconsistent quality - high variance
- High cost per investigation
- Verbose - uses many tokens for results
- Poor quality-to-cost ratio
- Weak in tool usage
gpt-4o-mini
Strengths
- High quality investigation output
- Very cost-effective
- Thorough tool utilization
- Excellent quality-to-cost ratio
Weaknesses
- Inconsistent quality - high variance
- Slow response time
- Verbose - uses many tokens for results
- Weak in tool usage
gpt-4o
Strengths
- Token-efficient reasoning
Weaknesses
- Inconsistent quality - high variance
- Poor quality-to-cost ratio
- Weak in tool usage
7. Recommendations
Primary Recommendation: gpt-4.1-nanoWeighted scoring: 40% quality, 30% cost-effectiveness, 20% reliability, 10% speed
Weighted Rankings
Use Case Specific Recommendations
Production (High Volume)
Production (High Volume)
Recommended Model: gpt-4.1-nanoBest balance of quality and cost for high volume usage.
Critical Investigations
Critical Investigations
Recommended Model: gpt-5.2Highest quality output for critical incident investigations.
Budget Constrained
Budget Constrained
Recommended Model: gpt-4.1-nanoLowest cost per investigation while maintaining acceptable quality.
Real-time Response
Real-time Response
Recommended Model: gpt-4.1-nanoFastest response time among high-quality models for time-sensitive alerts.