Compare Gpt 5 2 Codex Vs Gemini 3 Pro In 2026 Slashdot

Bonisiwe Shabane

-Jan 2, 2026, 5:06 AM

compare gpt 5 2 codex vs gemini 3 pro in 2026 slashdot

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... 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: 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... 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. Get a detailed comparison of AI language models OpenAI's GPT-5 Codex and Google's Gemini 3 Pro, including model features, token pricing, API costs, performance benchmarks, and real-world capabilities to help you choose the right... GPT-5 Codex is OpenAI’s GPT-5 variant optimized for agentic software engineering inside Codex. It excels at building full projects, refactoring large codebases, debugging, and code review. It supports images/screenshots for frontend work and runs in the Codex CLI, IDE extension, and cloud.

Available in Codex surfaces and the OpenAI API (Responses API). Gemini 3 Pro is Google's most intelligent model, designed to help bring any idea to life through state-of-the-art reasoning and multimodal understanding. It excels as the world's best model for multimodal tasks and stands as Google's most powerful agentic and coding model, delivering richer visualizations and deeper interactivity. The model significantly outperforms Gemini 2.5 Pro across all major benchmarks, achieving breakthrough scores on reasoning tasks like Humanity's Last Exam and GPQA Diamond, setting new standards in mathematics with MathArena Apex, and demonstrating... Gemini 3 Pro is 2 months newer than GPT-5 Codex. It has more recent training data (January 2025 vs September 30, 2024).

Gemini 3 Pro has a larger context window (1M vs 400K tokens). Unlike GPT-5 Codex, Gemini 3 Pro supports voice, video processing. Compare costs for input and output tokens between GPT-5 Codex and Gemini 3 Pro. This software hasn't been reviewed yet. Be the first to provide a review: This software hasn't been reviewed yet. Be the first to provide a review: Posted on Dec 16 • Originally published at tensorlake.ai

This software hasn't been reviewed yet. Be the first to provide a review: This software hasn't been reviewed yet. Be the first to provide a review: 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. Comparing 2 AI models · 5 benchmarks · OpenAI, Google GPT-5 Codex (high) offers the best value at $1.25/1M, making it ideal for high-volume applications and cost-conscious projects.

Gemini 3 Pro Preview (high) leads in reasoning capabilities with a 90.8% GPQA score, excelling at complex analytical tasks and problem-solving. Gemini 3 Pro Preview (high) achieves a 62.3 coding index, making it the top choice for software development and code generation tasks. All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations. Launch a complete monetizable AI product. Build an AI image generator for any use case. Build AI tools for your business customers.

Ship AI projects for your clients faster. Create AI coaching app for your clients. By late 2025/early 2026, Google’s Gemini 3 and OpenAI’s ChatGPT 5.2 have emerged as two of the most advanced AI models, often considered “frontier” AI systems. Both models push the boundaries of reasoning, coding assistance, and multimodal understanding, but they come from different design philosophies. ChatGPT 5.2 (based on GPT-5.2) builds on OpenAI’s tradition of strong conversational abilities and deep logical reasoning, while Google’s Gemini 3 is designed as a multimodal powerhouse tightly integrated with Google’s ecosystem. Here we share a detailed comparison of Gemini 3 and ChatGPT 5.2 across key dimensions, including reasoning and logic, coding skills, multimodal capabilities, memory and personalization, tool use, performance benchmarks, speed and latency, context...

Both ChatGPT 5.2 and Google Gemini 3 demonstrate advanced reasoning abilities, but they differ slightly in approach and consistency for complex logic tasks: ChatGPT 5.2: OpenAI’s model is highly regarded for its reasoning depth and logical consistency. It employs a refined “Thinking” mode that allows the AI to internally double-check and plan its answers for complex queries. In practice, ChatGPT 5.2 provides step-by-step, coherent explanations and is adept at tackling messy, unstructured problems. It carefully handles ambiguous questions (often asking clarifying questions rather than guessing) and tends to maintain a clear chain-of-thought in multi-step reasoning tasks. This makes it feel like a diligent analyst that double-checks work for consistency.

ChatGPT’s fine-tuning and extensive training on diverse scenarios give it a slight edge in logical reliability – users find that its answers to tricky reasoning puzzles or strategic questions are more often correct or... However, in pursuit of logical thoroughness, it may sometimes take a bit longer (especially in “Thinking” mode) to formulate a response. Google Gemini 3: Google’s latest model offers frontier-level reasoning performance, nearly on par with ChatGPT in many areas, while emphasizing speed. Gemini 3 (especially the high-end “Pro” variant) is capable of tackling complex math, science, and multi-step logical problems, often achieving expert-level scores on internal benchmarks. Its design dynamically allocates more computing power to harder questions, allowing it to solve tough problems without external tools. For mathematically intensive or highly structured logical tasks, Gemini 3 can sometimes outperform ChatGPT, as it excels in pure math competitions and formal logic tests.

Users report that Gemini’s answers are typically concise, factual, and on-point, which means it might trade some verbosity or detailed explanation for brevity. In extended logical discussions, Gemini remains very strong, though occasionally it might prioritize immediacy over meticulous step-by-step reasoning. Thanks to integration with Google’s up-to-date knowledge graph and search, Gemini is also very good at factual reasoning on current events or scientific data. Overall, ChatGPT 5.2 holds a slight advantage in structured logical consistency (especially for strategic or open-ended reasoning), whereas Gemini 3 is extremely quick and capable—it delivers correct answers for most logical problems and shines... 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: Compare your models with top performers across different categories The Most Powerful AI Platform on the Planet

© 2026 GalaxyAI Inc. All rights reserved. Get a detailed comparison of AI language models OpenAI's GPT-5 Codex and Google's Gemini 3 Pro, including model features, token pricing, API costs, performance benchmarks, and real-world capabilities to help you choose the right... GPT-5 Codex is OpenAI’s GPT-5 variant optimized for agentic software engineering inside Codex. It excels at building full projects, refactoring large codebases, debugging, and code review. It supports images/screenshots for frontend work and runs in the Codex CLI, IDE extension, and cloud.

Compare Gpt 5 2 Codex Vs Gemini 3 Pro In 2026 Slashdot

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