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Gpt 5 Codex Vs Gemini 3 Pro Detailed Performance Feature Comparison

Bonisiwe Shabane
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gpt 5 codex vs gemini 3 pro detailed performance feature comparison

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. Detailed comparison of capabilities, features, and performance. View detailed specifications and capabilities View detailed specifications and capabilities Access both GPT-5 Codex and Gemini 3 Pro in a single workspace without managing multiple API keys. 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. 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. This software hasn't been reviewed yet. Be the first to provide a review: 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: 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.

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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, debuggi...

It Excels As The World's Best Model For Multimodal Tasks

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 MathAr...

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Compare costs for input and output tokens between GPT-5 Codex and Gemini 3 Pro. Detailed comparison of capabilities, features, and performance. View detailed specifications and capabilities View detailed specifications and capabilities Access both GPT-5 Codex and Gemini 3 Pro in a single workspace without managing multiple API keys. Launch a complete monetizable AI product.

Build An AI Image Generator For Any Use Case. Build

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. 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

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 conve...