Mirror Review
April 24, 2026
On April 24, 2026, OpenAI officially released GPT-5.5, a new class of intelligence built to handle complex, multi-part tasks by planning and executing workflows across different software tools. This latest model excels at writing and debugging code, researching online, and operating software with high precision.
Early benchmark results confirm that the latest OpenAI GPT 5.5 outperforms top competitors, including Claude Opus 4.7 and Gemini 3.1 Pro, particularly in software engineering and scientific research.
OpenAI designed this version to be their smartest and most intuitive model yet. Instead of a user carefully managing every step, you can now give the AI a messy task and trust it to use tools, check its work, and navigate through ambiguity until the job is finished.
This release comes at a time when OpenAI is scaling aggressively, around AI governance and global influence.
OpenAI GPT 5.5 Leading in Performance Benchmarks
The AI industry relies on rigorous testing to measure progress, and the latest OpenAI GPT model has set new records.
- On Terminal-Bench 2.0, which tests complex command-line workflows requiring planning and iteration, GPT-5.5 achieved a state-of-the-art accuracy of 82.7%. For comparison, Claude Opus 4.7 scored 69.4%, and Gemini 3.1 Pro reached 68.5% on the same test.
- In terms of real-world software engineering, the model reached 58.6% on SWE-Bench Pro. This evaluation measures the ability to resolve GitHub issues end-to-end. While some competitors show strong results, GPT-5.5 often reaches higher-quality outputs with fewer retries and fewer tokens.
- The data shows that GPT-5.5 maintains its lead across professional work, including finance, legal, and data science tasks. It also matches the per-token latency of GPT-5.4, meaning it delivers higher intelligence without slowing down the user experience.
The competitive pressure is also intensifying as rivals like Anthropic and Google challenge OpenAI’s valuation and dominance at scale.
Agentic Coding and the Evolution of Codex
For developers, OpenAI’s latest version transforms the coding experience within the Codex application.
The model is not just generating snippets; it is holding context across large systems and reasoning through ambiguous failures.
It can implement new apps from single images or prompts, ensuring realistic mechanics and functional rendering.
- Justin Boitano, VP of Enterprise AI at NVIDIA, shared “the model enables our teams to ship end-to-end features from natural language prompts, cut debug time from days to hours, and turn weeks of experimentation into overnight progress in complex codebases.”
NVIDIA has already integrated this technology at scale. Over 10,000 NVIDIANs are using GPT-5.5-powered Codex across various functions like engineering, marketing, and finance.
- Michael Truell, Co-founder and CEO at Cursor, noted that GPT-5.5 is noticeably smarter and more persistent. He stated, “It stays on task for significantly longer without stopping early, which matters most for the complex, long-running work our users delegate to Cursor.”
GPT-5.5 in Scientific Research
Beyond software, GPT-5.5 is acting as a “co-scientist” in technical fields. It shows clear gains on GeneBench, which focuses on multi-stage scientific data analysis in genetics and biology. These tasks often correspond to multi-day projects for human experts, yet the model reasons through errorful data and implements modern statistical methods with minimal guidance.
One of the most striking achievements was in mathematics. An internal version of the model helped discover a new proof about Ramsey numbers, a central topic in combinatorics. It found a proof for a longstanding asymptotic fact that was later verified in Lean. This proves that the latest OpenAI GPT 5.5 can contribute original mathematical arguments rather than just explaining existing ones.
- Professor Derya Unutmaz from the Jackson Laboratory for Genomic Medicine used the model to analyze a dataset with nearly 28,000 genes. The resulting report summarized findings and surfaced key insights in a way that would have normally taken his team months to complete.
Efficiency and Infrastructure with NVIDIA
The performance of GPT-5.5 is deeply tied to the core infrastructure it runs on.
OpenAI co-designed and served the model on NVIDIA GB200 and GB300 NVL72 systems. Interestingly, the model actually helped improve the infrastructure that serves it. GPT-5.5 analyzed production traffic patterns and wrote custom algorithms to balance work across computing cores. This optimization increased token generation speeds by over 20%.
For enterprise users, this means frontier-model inference is more viable than ever. The GB200 systems deliver 35x lower cost per million tokens compared to prior-generation systems.
OpenAI is passing some of this efficiency to users by making the model more token-efficient, often reaching the same result with fewer tokens than GPT-5.4.
Safeguards and Cyber Defense
With increased power comes the need for stronger security. OpenAI is deploying its strictest classifiers to date for potential cyber risks. GPT-5.5 is treated as “High” under the Preparedness Framework for biological and cybersecurity capabilities.
The company is also launching “Trusted Access for Cyber.” This allows verified users and organizations defending critical infrastructure to access models like GPT-5.4-Cyber and the advanced capabilities of GPT-5.5 with fewer restrictions. The goal is to ensure that those defending the public have tools at least as capable as those used by malicious actors.
OpenAI GPT 5.5 Availability and Pricing
OpenAI’s latest GPT model is rolling out across multiple tiers.
- ChatGPT: GPT-5.5 Thinking is available to Plus, Pro, Business, and Enterprise users.
- ChatGPT Pro: GPT-5.5 Pro is available for Pro, Business, and Enterprise users, offering a step up in difficulty and quality.
- Codex: GPT-5.5 is available for all paid plans with a 400K context window.
- API: Developers will soon have access to GPT-5.5 at $5 per 1M input tokens and $30 per 1M output tokens.
While the API pricing is higher than previous versions, the increased intelligence and token efficiency mean users may find the overall cost for complex tasks is actually lower.
On Artificial Analysis’s Coding Index, GPT-5.5 delivers state-of-the-art results at half the cost of competitive frontier coding models.
End Note
The launch of the latest OpenAI GPT 5.5 signals a shift toward agentic AI that can operate independently across software environments. By beating Claude Opus 4.7 and Gemini 3.1 Pro in critical benchmarks, OpenAI has reclaimed its position at the front of the race. Whether it is discovering new mathematical proofs, debugging complex codebases in minutes, or automating weeks of financial research, GPT-5.5 is proving to be a versatile and efficient tool for the modern workforce. As this technology becomes more integrated into daily workflows, it will likely change the foundations of how we approach problem-solving and innovation.
Maria Isabel Rodrigues
