Opus 4 5 Vs Gpt 5 1 Codex Vs Gemini 3 Pro The Clear Winner App

Bonisiwe Shabane

-Jan 2, 2026, 3:53 AM

opus 4 5 vs gpt 5 1 codex vs gemini 3 pro the clear winner app

This YouTube insight note was created with LilysAI. Sign up free and get 10× faster, deeper insights from videos. This head-to-head comparison of Claude Opus 4.5, GPT-5.1 Codex, and Gemini 3 Pro rigorously tests their app-building skills by creating a complex "AI productivity dashboard." Discover which model is the "CLEAR WINNER" based on... Learn which AI delivers the most bug-free, fully functional web app from a single prompt. The Prompt: AI Productivity Dashboard [12] Opus 4.5's Detailed Testing Process [41]

Calendar and Task Integration Issues [107] For a few weeks now, the tech community has been amazed by all these new AI models coming out every few days. 🥴 But the catch is, there are so many of them right now that we devs aren't really sure which AI model to use when it comes to working with code, especially as your daily... Just a few weeks ago, Anthropic released Opus 4.5, Google released Gemini 3, and OpenAI released GPT-5.2 (Codex), all of which claim at some point to be the "so-called" best for coding. But now the question arises: how much better or worse is each of them when compared to real-world scenarios?

If you want a quick take, here is how the three models performed in these tests: Released November 24, 2025, Claude Opus 4.5 establishes new benchmarks for coding performance, agentic workflows, and enterprise-grade AI safety—while dramatically reducing costs for businesses ready to scale AI integration. The artificial intelligence landscape witnessed another pivotal shift this week as Anthropic released Claude Opus 4.5, a model the company describes as the "best in the world for coding, agents, and computer use." Arriving... For businesses evaluating AI integration strategies, the timing couldn't be more consequential. Claude Opus 4.5 doesn't merely iterate on previous capabilities; it represents a fundamental shift in how organizations can deploy AI for complex software development, autonomous task completion, and enterprise workflow automation. The model achieves an 80.9% score on SWE-bench Verified—the industry's gold standard for measuring real-world software engineering capability—while simultaneously slashing API pricing by 67% compared to previous Opus models.

"Tasks that were near-impossible for Sonnet 4.5 just a few weeks ago are now within reach," noted Anthropic's internal testers during early access evaluations. This qualitative leap, combined with dramatic cost reductions, positions Claude Opus 4.5 as a transformative tool for organizations seeking to accelerate their AI consulting and strategy initiatives. Claude Opus 4.5's benchmark performance represents more than incremental improvement—it establishes clear leadership across multiple evaluation frameworks that enterprise developers rely upon when selecting AI development tools. The model's 80.9% accuracy on SWE-bench Verified, which measures autonomous capability to solve real-world GitHub issues, surpasses both GPT-5.1-Codex-Max at 77.9% and Gemini 3 Pro at 76.2%. The Shifting Landscape: GPT-5.2’s Rise in Developer Usage December 2025 marks a pivotal moment in the AI coding assistant wars. Introduction: Navigating the AI Coding Model Landscape December 2025 brought an unprecedented wave of AI model releases that left developers

Nvidia Makes Its Largest Acquisition Ever with Groq Purchase In a landmark move that reshapes the artificial intelligence chip landscape, Is your Apple Watch’s constant stream of notifications and daily charging routine dimming its appeal? As we look towards Elevate your summer look with 7 AI diamond rings that deliver 24/7 health tracking, heart rate, and sleep insights while matching your style. A report on the latest flagship model benchmarks and trends they signal for the AI agent space in 2026 2025 has been a defining moment for artificial intelligence.

While breakthrough models, like the much anticipated release of GPT 5, created huge waves in the AI space, leaders in the space are noticing clear redlining in performance capabilities with our current tech. The US recently announced the Genesis Mission has formally kicked off a national effort to mobilize federal data, supercomputing resources, and national labs into a unified AI research platform. Its goal is to accelerate scientific and technological progress by making government datasets and compute directly usable by advanced models. In practice, Genesis marks the first major attempt to tie frontier AI capability to state-level scientific infrastructure and national priorities. All the while leading AI researchers like Ilya Sutskever are amplifying this transition to research to see how AI progress can be achieved. In a recent interview, Ilya argued that the “age of scaling” is ending and that simply adding more compute won’t deliver the next order-of-magnitude breakthroughs.

Instead, he describes a return to core research (e.g. new training methods, new architectures, and new ways for models to reason) as the real frontier from here. Against this backdrop, the latest flagship model releases of GPT-5.1, Gemini 3 Pro, and Claude Opus 4.5 capture the tension of this moment: rapidly improving capabilities, rising expectations for national-scale impact, and a growing... This report analyzes model performance across the board to see how each model provider is positioning itself, and what these shifts mean for the future of AI agents. AILLMEngineeringComparisonBenchmarkCursor Last month, I conducted a deep dive into AI frontend generators—vibe coding tools like v0 and Lovable.

Since then, the landscape of AI-assisted software development has shifted again. With the release of Claude Opus 4.5 and the hype surrounding "engineering-grade" models, I wanted to move beyond frontend generation and test their capabilities as full-stack engineers. I took the three current heavyweights—GPT-5.1-Codex-Max, Gemini 3 Pro, and Claude Opus 4.5—and ran them through a rigorous MVP development cycle. Anthropic claims that "Claude Opus 4.5 is state-of-the-art on tests of real-world software engineering," citing a 74.4% score on SWE-bench. Gemini 3 Pro is nipping at its heels at 74.2%. But do benchmark numbers translate to shipping products?

Let's put it to the test. Three AI giants released their best coding models in the same month: November 12: OpenAI released GPT-5.1 and GPT-5.1-Codex-Max simultaneously November 18: Google released Gemini 3.0, a significant upgrade from Gemini 2.5 November 24: Anthropic released Opus 4.5 The question on everyone’s mind: Which is the best AI model for practical coding?

We ran some benchmarks and experiments to find out. November 2025 was the most intense month in AI history: three tech giants released their flagship models within just six days of each other. We break down the benchmarks, pricing, and real-world performance to help you choose the right model for your needs. In an unprecedented week, all three major AI labs released their flagship models, creating the most competitive AI landscape we've ever seen: Here's how the three models stack up on the most important benchmarks for developers and enterprises: Measures ability to solve actual GitHub issues from real software projects

Tests advanced academic knowledge across physics, chemistry, and biology Three flagship AI coding models launched within weeks of each other. Claude Opus 4.5 on November 24. Gemini 3.0 Pro on November 18. GPT 5.1 Codex-Max on November 19. All three claim to be the best model for complex coding tasks and agentic workflows.

The benchmarks show they're neck-and-neck. I wanted to see what that means for actual development work. So I gave all three the same prompts for two complex problems in my observability platform: statistical anomaly detection and distributed alert deduplication: same codebase, exact requirements, same IDE setup. Here. I compared all these models on some projects I was working on in my spare time. I've used the Tool router, which is beta, in the first test, which also helps in dogfood the product.

Do check out if you're someone who wants to use tools with your agents but doesn't want to be bothered with context pollution. Read more on the tool router here. SWE-bench Verified: Opus 4.5 leads at 80.9%, followed by GPT 5.1 Codex-Max at 77.9% and Gemini 3 Pro at 76.2% Terminal-Bench 2.0: Gemini 3 Pro tops at 54.2%, demonstrating exceptional tool use capabilities Video, images, 1M context, multimodal reasoning, spatial tasks High-volume chatbots, low latency, tone control, budget-friendly

Code migrations, agents, security-first, long-form writing The final weeks of 2025 have delivered the most aggressive AI arms race yet. Within 12 days, the three frontier labs (Google, OpenAI, and Anthropic) dropped their flagship models, each pushing different frontiers: multimodal reasoning, adaptive efficiency, and agentic reliability. This isn't incremental progress; it's a fundamental reshaping of what's possible in enterprise AI, developer tools, and consumer applications. Google's Gemini 3 Pro dropped on November 18, building on its multimodal strengths with groundbreaking reasoning leaps. OpenAI had already set the stage with GPT-5.1 on November 12, a refined evolution of its GPT-5 base (launched August 7) focusing on adaptive efficiency and conversational polish.

Then, on November 24, Anthropic struck back with Claude Opus 4.5, reclaiming the crown for coding and agentic tasks while slashing prices by 67%.

Opus 4 5 Vs Gpt 5 1 Codex Vs Gemini 3 Pro The Clear Winner App

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