GPT-5.5 Tops Benchmarks, Costs 2x API Price, Still Hallucinates

1. 1Test GPT-5.5 using the Terminal-Bench 2.0 framework to evaluate its performance
2. 2Compare GPT-5.5's coding and math capabilities with other models like Claude Opus 4.7 and Gemini 3.1 Pro
3. 3Evaluate the hallucination rates of GPT-5.5 and consider mitigation strategies
4. 4Calculate the effective API costs of GPT-5.5 and weigh them against its benefits
5. 5Apply GPT-5.5 to a specific use case, such as coding or math problem-solving, to assess its real-world performance

AI engineers and researchers can benefit from understanding GPT-5.5's capabilities and limitations, while product managers should consider the cost implications of integrating this model into their applications

💡 GPT-5.5's improved performance comes with increased costs and limitations, requiring careful consideration before integration

🚀 GPT-5.5 tops benchmarks, but at a cost: higher hallucination rates and 2x API price 🤖