Show me some of the latest reviews of OpenAI's GPT 5.4. Compare it to other leading models like Claude Opus 4.6 and Gemini 3.1 Pro

Based on the latest reviews and benchmark analyses from across the web, the AI landscape has become highly competitive with the release of OpenAI’s GPT-5.4. Reviewers generally agree that relying purely on benchmarks is becoming less useful, and the “best” model heavily depends on your specific workflow—especially for software engineers working with languages like Swift and Python.

Here is a breakdown of how GPT-5.4 compares to Claude Opus 4.6 and Gemini 3.1 Pro, drawing from recent community reviews, benchmark reports, and developer feedback.

1. OpenAI GPT-5.4: The Broad Execution Engine

GPT-5.4 is being praised as a substantial upgrade, particularly for its speed, automation capabilities, and generalist performance.

• Key Strengths: Reviewers highlight its incredible “scaffolding speed.” For developers, it excels at instantly generating boilerplate code, structured outputs, and multiple files simultaneously without unnecessary preamble Reddit: r/AI_Agents.
• Computer Use & Automation: A standout feature of GPT-5.4 is its native computer use capability, which users have found genuinely impressive for automating multi-step tasks on their machines Awa K. Penn - LinkedIn.
• Performance: It set a new record on the Haskell Benchmark (94.6%) beating both Gemini and Claude, and operates quickly at around 74 tokens per second Zvi Mowshowitz.
• Drawbacks: Some users report that while it is fantastic for initial tasks, it can sometimes “lose the thread” or context on much longer, complex sequences. Testers also noted it can be somewhat refusal-heavy Reddit: r/AI_Agents.

2. Claude Opus 4.6: The Premium Specialist

Anthropic’s Claude Opus 4.6 remains the heavyweight champion for deep reasoning, complex architectural planning, and long-context retrieval.

• Key Strengths: Opus 4.6 is widely considered the best model for building real, professional applications. Its “extended thinking” mode makes it the top choice for multi-step debugging, analyzing complex code paths (like deep SwiftUI state issues), and working through long chains of dependencies EvoLink.AI.
• Long Context Reliability: Anthropic explicitly focuses on preventing “context rot.” Reviewers note Opus 4.6 achieves a 76% score on 1M context retrieval tests, maintaining high qualitative performance even when analyzing massive codebases Data Studios.
• Drawbacks: It is considered a premium model, and heavy users report running into usage limits more frequently than with OpenAI or Google platforms.

3. Gemini 3.1 Pro: The Multimodal Powerhouse

Google’s Gemini 3.1 Pro is positioned as the best value model with an expansive scope, handling massive documents and a wide array of inputs flawlessly.

• Key Strengths: It offers incredible value at roughly $2 per 1M input tokens. It is the only model in this tier natively supporting text, image, audio, and video at the API level EvoLink.AI.
• Data Handling: Gemini is unparalleled when dealing with large datasets or analyzing massive amounts of context at once, making it highly effective for cross-referencing extensive API documentation or large Swift/Python repositories Data Studios.

Which model is best for your workflows?

Given your background as a software engineer developing an iOS AI app using Swift, SwiftUI, and Python:

• For architectural planning and tough debugging: Choose Claude Opus 4.6. If you are stuck on a complex SwiftUI state bug or need to refactor a messy Python backend, reviewers agree Claude provides the most reliable “professional” code quality.
• For rapid prototyping and scaffolding: Choose GPT-5.4. If you need to quickly spin up boilerplate for new app features or automate local scripting tasks, GPT-5.4’s speed and computer use features will save you the most time.
• For massive context and cost-efficiency: Choose Gemini 3.1 Pro. If you need to feed an entire repository into the context window to ask broad questions, or if you are looking to integrate a highly capable, cost-effective multimodal API into your own app’s backend, Gemini is currently unmatched in value.