GPT-5.5: Capabilities and Reactions

2023-08-29 · Source: Don't Worry About the Vase · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Intermediate, extended

Summary

OpenAI has released GPT-5.5, codenamed "Spud," which is positioned as a significant upgrade over GPT-5.4, particularly in raw intelligence, well-specified coding, and agent tasks including computer use. The model's system card aligns with expectations, and initial feedback is largely positive, with many users considering it competitive with Anthropic's Claude Opus 4.7. OpenAI claims GPT-5.5 offers a "much higher" level of intelligence, matches GPT-5.4's per-token latency, and uses significantly fewer tokens for Codex tasks, leading to improved efficiency despite a higher headline price of $5/$30 per million tokens. While some benchmarks show GPT-5.5 leading in areas like ARC-AGI and Terminal-Bench 2.0, others, such as WeirdML and BullshitBench, still favor Claude Opus 4.7. The model is noted for its enhanced capabilities in writing and debugging code, online research, data analysis, document creation, and operating software, with a focus on agentic workflows.

Key takeaway

For CTOs and VPs of Engineering evaluating large language models, GPT-5.5 represents a compelling option for tasks requiring high raw intelligence and precise execution, particularly in coding and agentic workflows. While its literal interpretation of instructions may necessitate more explicit prompting, its efficiency and performance gains warrant direct testing against your specific use cases. Consider a hybrid approach, leveraging Claude for initial planning and GPT-5.5 for detailed implementation, to optimize your development and operational pipelines.

Key insights

GPT-5.5 offers a substantial intelligence boost for well-specified tasks, making it a strong competitor to Claude Opus 4.7.

Principles

• Model intelligence is a function of inference compute.
• Iterative deployment is key for AI safety and progress.

Method

For optimal performance, combine Claude for initial planning and scaffolding with GPT-5.5 (Codex) for problem-solving and bug fixes, especially in coding workflows.

In practice

• Test GPT-5.5 for well-specified coding and agent tasks.
• Use Claude Opus 4.7 for conversational or ambiguous tasks.
• Evaluate models based on task completion cost, not just token price.

Topics

• GPT-5.5
• Claude Opus 4.7
• Agentic AI
• Coding Assistance
• LLM Benchmarks

Code references

• openai/codex

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Engineer, Machine Learning Engineer, AI Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Don't Worry About the Vase.