GPT 5.5 Model Release: Focused on Scientific Research Programming! A Side-by-Side Comparison with Claude Opus 4.7

OpenAI surprises release GPT-5.5 model, focusing on the most powerful and intuitive coding and cross-tool operation capabilities. This article summarizes the performance comparison of GPT-5.5 with mainstream models such as Claude Opus 4.7 and Gemini 3.1 Pro.

OpenAI’s GPT-5.5 model is here! Features at a glance

AI giant OpenAI unexpectedly launched the new GPT-5.5 model in the early morning of April 24 Taiwan time, claiming it to be the smartest and most intuitive AI system to date.

OpenAI states that the GPT-5.5 model has powerful AI agent coding abilities, excelling in bug fixing, online research, and cross-tool operations.

Compared to the previous GPT-5.4, GPT-5.5 maintains the same computational latency level and can complete tasks with fewer tokens.

OpenAI CEO Greg Brockman pointed out that the new model is an important step toward intuitive computing and a key move in creating super applications combining ChatGPT, Codex, and AI browsers.

GPT-5.5 Model Pricing and Usage Rights

Starting today, users of ChatGPT Plus, Pro, Business, and Enterprise plans, as well as Codex users, can access GPT-5.5. The advanced GPT-5.5 Pro version is available to Pro, Business, and Enterprise users.

In terms of API pricing, GPT-5.5 costs $5 per 1 million input tokens and $30 per 1 million output tokens. GPT-5.5 Pro costs $30 per 1 million input tokens and $180 per 1 million output tokens.

Interestingly, the release of GPT-5.5 coincides with Elon Musk and OpenAI CEO Sam Altman preparing for a court case, drawing public attention.

GPT-5.5 Benchmark Performance: Strengths and Weaknesses Analysis

In performance benchmarks, GPT-5.5 demonstrates technical advantages, but some areas still face challenges.

According to official OpenAI data, GPT-5.5 achieved an 82.7% accuracy rate on the Terminal-Bench 2.0 test for evaluating complex command-line tasks; in the GDPval knowledge work assessment, it scored 84.9%, showing high practical value for daily office tasks.

GPT-5.5 scored 58.6% in solving real GitHub issues in the SWE-Bench Pro public test, slightly behind Anthropic’s Claude Opus 4.7, which scored 64.3%.

OpenAI notes that the test results may be affected by the model’s memory effects but still reflect GPT-5.5’s disadvantages in specific bug-fixing development tasks.

Image source: OpenAI GPT-5.5 benchmark performance: strengths and weaknesses analysis

In the cybersecurity field, Anthropic recently released Claude Mythos Preview, a model emphasizing strong security features. While GPT-5.5 has improved its defenses, it is currently only available through specific channels for certified enterprise infrastructure protection.

Mainstream Model Comparison: GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro

GPT-5.5 and Claude Opus 4.7 Data Comparison

Based on testing data from OpenAI and ITmedia, in the OSWorld-Verified environment simulating actual computer operations, GPT-5.5 scored 78.7%, slightly ahead of Claude Opus 4.7’s 78.0%.

In advanced logic and tool collaboration tests like BrowseComp, GPT-5.5 achieved 84.4%, outperforming Claude Opus 4.7’s 79.3%. In higher mathematics capability tests (FrontierMath Tier 1-3), GPT-5.5 scored 51.7%, surpassing Claude Opus 4.7’s 43.8%.

GPT-5.5 and Gemini 3.1 Pro Data Comparison

Compared to Gemini 3.1 Pro, GPT-5.5 maintains an edge in most professional tests. In the GDPval knowledge work test, GPT-5.5 scored 84.9%, exceeding Gemini 3.1 Pro’s 67.3%.

In the Toolathlon evaluation of external tool usage, GPT-5.5 scored 55.6%, better than Gemini 3.1 Pro’s 48.8%.

Image source: OpenAI GPT-5.5 and Gemini 3.1 Pro data comparison

In the multimodal MMMU Pro test without tool assistance, GPT-5.5 scored 81.2%, with Gemini 3.1 Pro close behind at 80.5%.

Is GPT-5.5 paving the way for an IPO?

OpenAI Research Director Mark Chen stated that GPT-5.5 brings substantial improvements to scientific and technical research processes, potentially helping scientists accelerate research in fields like drug discovery.

The Verge pointed out that the emergence of this new model reflects the intensifying competition between OpenAI and Anthropic for dominance in the enterprise AI tool market, and is paving the way for a possible IPO later this year, as both sides engage in increasingly fierce rivalry.

Further reading:
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