Gemini 3 Pro Vs Gpt 5 Detailed Performance Feature Comparison

Bonisiwe Shabane

-Jan 2, 2026, 7:15 AM

gemini 3 pro vs gpt 5 detailed performance feature comparison

Get a detailed comparison of AI language models Google's Gemini 3 Pro and OpenAI's GPT‑5, including model features, token pricing, API costs, performance benchmarks, and real-world capabilities to help you choose the right LLM... 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... GPT‑5 is OpenAI’s most advanced and versatile model to date, launched on August 7, 2025. It manages reasoning, creative writing, coding, health queries, and visual comprehension within a unified system.

Equipped with intelligent routing and adjustable reasoning effort and verbosity, GPT‑5 delivers expert-level responses with reduced hallucinations and enhanced chain‑of‑thought transparency. GPT‑5 is 3 months older than Gemini 3 Pro. GPT‑5 has a smaller context window (400K vs 1M tokens). Unlike Gemini 3 Pro, GPT‑5 does not support voice, video processing. Compare costs for input and output tokens between Gemini 3 Pro and GPT‑5. Compare Google's Gemini 3 Pro and OpenAI's GPT-5.1 based on late 2025 benchmarks.

Highlight Gemini's superiority in multimodal reasoning and video understanding versus GPT-5.1's 'a As of late 2025, the landscape of generative AI has decisively shifted from conversational chatbots to sophisticated, autonomous agents. For CTOs and engineering leads, the choice of a foundation model is now one of the most critical architectural decisions. The two dominant players, Google’s Gemini 3 Pro and OpenAI’s GPT-5.1, offer powerful but distinctly different capabilities for building these agentic workflows. This article provides a technical comparison based on projected late-2025 benchmarks and capabilities, helping you select the right engine for your next generation of AI-powered systems. The core challenge in 2025 is no longer just generating accurate text or code.

It’s about building agents that can perceive their environment, create multi-step plans, execute tasks using tools, and adapt when things go wrong. Both Gemini 3 Pro and GPT-5.1 are designed for this paradigm, but their underlying architectures reflect their creators’ differing philosophies. Gemini 3 Pro represents the pinnacle of native multimodality. Unlike earlier models that bolt-on vision capabilities, its architecture is designed from the ground up to process and reason across text, images, audio, and, most importantly, high-fidelity video streams in real time. During late 2025, foundation models experienced a dramatic evolution, with Gemini 3 Pro and GPT-5.1 outperforming their predecessors in terms of multimodal capabilities, code generation, and their reasoning depth. The decision to choose between them doesn’t rely on which model is generally “better”, but rather rely on which architectural features best suit your particular technical needs.

In this article, we will compare Gemini 3 Pro and GPT-5.1 in various tasks such as generating code, visual reasoning, long-context processing, and deep reasoning. We’ll also understand when each model should be selected for your development process. Gemini 3 Pro is Google’s flagship AI model, which was created as a multimodal reasoning system to process text, images, code, and structured data in a single architecture. The model was released in late 2025, and it can process complex multi-file projects, long documents, or entire codebases in a single session thanks to its 1 million-token context window. It achieved around 41% on Humanity’s Last Exam and 45.1% on ARC-AGI-2 by introducing Deep Think mode, which gives more computation time for challenging reasoning tasks. Gemini 3 Pro also connects with Google Antigravity, Vertex AI, and the Gemini API for workflows, deployment, and development.

Now, let’s see how OpenAI’s GPT-5.1 model faces these challenges. Comparing Gemini 3 Pro Preview from Google with GPT-5 from OpenAI? Instead of managing separate API keys and subscriptions, get both with Writingmate. Comparing Gemini 3 Pro Preview from Google with GPT-5 from OpenAI? Instead of managing separate API keys and subscriptions, get both with Writingmate. Compare your models with top performers across different categories The Most Powerful AI Platform on the Planet © 2026 GalaxyAI Inc.

All rights reserved. In-depth comparison of GPT-5.2 and Gemini 3 Pro across benchmarks, pricing, context windows, and real-world performance. Discover which AI model best fits your needs. The AI landscape has reached an inflection point. On November 18, 2025, Google unveiled Gemini 3 Pro, a model so capable that it reportedly triggered a "code red" response within OpenAI. Less than a month later, on December 11, 2025, OpenAI fired back with GPT-5.2-their most ambitious model yet.

But beyond the headline benchmarks lies a more nuanced story. These models represent fundamentally different architectural philosophies, and their real-world performance diverges in ways that benchmark scores alone don't capture. This comparison goes deeper than the usual spec sheets to examine how each model actually behaves when deployed in production-and why that matters for your specific use case. Before comparing benchmarks, it's worth understanding that GPT-5.2 and Gemini 3 Pro are built on fundamentally different architectural principles. This shapes everything from their strengths to their failure modes. GPT-5.2 introduces a novel self-verification mechanism that fundamentally changes how the model produces responses.

Before finalizing any output, GPT-5.2 cross-references its responses against a distilled knowledge graph-a process that adds less than 30 milliseconds of latency but reduces misinformation by approximately one-third in controlled trials. Get a detailed comparison of AI language models OpenAI's GPT‑5.2 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 LLM... GPT‑5.2 is OpenAI’s most capable model series for professional knowledge work, delivering stronger long-context reasoning, tool use, and multimodal understanding across Instant, Thinking, and Pro variants. It improves spreadsheet and presentation generation, coding, and complex multi-step projects with better speed and reliability. 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 1 months older than GPT‑5.2. Gemini 3 Pro has a larger context window (1M vs 400K tokens). Unlike GPT‑5.2, Gemini 3 Pro supports voice, video processing. Compare costs for input and output tokens between GPT‑5.2 and Gemini 3 Pro. 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... Posted on Dec 16 • Originally published at tensorlake.ai Gemini 3 Pro has strong multimodal capabilities but produces simpler, less structured coding outputs. GPT-5.2 delivers more reliable reasoning and polished, production-ready code with minimal cleanup needed. By the end of 2025, two major AI releases had reshaped how developers build and ship software: OpenAI’s GPT-5.2 and Google’s Gemini 3 Pro. Both bring improvements in reasoning, coding assistance, and multimodal capabilities, but they take different approaches to solving developer problems.

Gemini 3 Pro was officially launched on November 18, 2025, as Google’s most advanced multimodal model yet, designed to handle complex text, image, audio, and video tasks alongside code and reasoning. Long-Term Memory: Episodic: Stores specific past events or "episodes" of interactions (e.g., "The user mentioned they preferred Python over Java last week"). Semantic: A repository of general facts, world knowledge, and entity relationships (e.g., "Paris is the capital of France"). Procedural: Contains the skills and "how-to" logic for performing tasks, often encoded as system prompts, scripts, or specific tool-calling protocols. 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...

Google's Gemini 3 Pro crushes 19/20 benchmarks against Claude 4.5 and GPT-5.1. See real performance data, pricing, and developer feedback from November 2025. On November 18, 2025—just six days after OpenAI released GPT-5.1—Google dropped Gemini 3 Pro and immediately claimed the crown. According to independent testing, Gemini 3 achieved the top score in 19 out of 20 standard benchmarks when tested against Claude Sonnet 4.5 and GPT-5.1. But does that make it the best model for your use case? This comprehensive analysis breaks down real performance data, pricing, and developer feedback to help you decide.

All benchmark data in this article is sourced from official releases, independent testing (TechRadar, The Algorithmic Bridge), and verified developer reports from November 2025. This benchmark tests abstract reasoning—the closest thing we have to an AI "IQ test." 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.

Gemini 3 Pro Vs Gpt 5 Detailed Performance Feature Comparison

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