Gemini 3 Pro boasts 1 M-token window, 60 FPS multimodal, deep‑thinking vs GPT 5.2
Why does the new Gemini 3 Pro matter now? Because the benchmark for large‑language models has shifted from raw size to how much context they can juggle and how fluidly they handle mixed media. While GPT 5.2 set a high bar earlier this year, developers have been asking for a system that can keep track of longer documents without chopping them up, and that can respond to text, images, video, audio, and code in a single pass.
Here’s the reality: most current offerings still stumble after a few hundred thousand tokens, and their multimodal pipelines often lag behind real‑time expectations. The Gemini 3 Pro aims to close that gap, promising a broader window and smoother frame rates while retaining logical depth. But the proof is in the numbers.
The following specifications lay out exactly how the new model stacks up against its closest rival.
Context Window: 1 million tokens (2.5 times the size of GPT 5.2) Multimodal Mastery: Handles text, images, video at 60 FPS, audio, and code all at once Deep-Thinking Mode: Executes 10-15 logical reasoning steps without losing attention Generative UI: Builds interactive applications and graphics from plain language Google Integration: Works effortlessly across Workspace, Android, and Cloud CEO Demis Hassabis states that earlier models would "lose the thread" around the 5-6 steps, whereas Gemini 3 Pro keeps the flow through the difficult reasoning chains. Capabilities of GPT 5.2 Context Window: 400,000 tokens with 128,000 tokens as maximum output Three Variants: Instant (speed), Thinking (reasoning), Pro (maximum precision) Reasoning Levels: Customizable from low to x-high depending on the task complexity Error Reduction: 38% fewer errors in Thinking mode compared to GPT 5.1 Knowledge Cutoff: August 31, 2025 (newer than the previous ones) Pricing Comparison If we see the pricing of both models, we can observe that GPT is a little on the expensive side as compared to the Gemini 3 Pro.
Which model truly leads the 2025 AI race? Gemini 3 Pro arrived on November 18, instantly amassing two billion users, while OpenAI’s GPT 5.2 followed on December 9 after a “Code Red” acceleration. The headline numbers favor Gemini: a one‑million‑token context window—2.5 times larger than GPT 5.2’s—plus a multimodal engine that processes text, images, video at 60 FPS, audio and code simultaneously. Its Deep‑Thinking mode claims ten to fifteen logical steps without losing focus, and a generative UI that assembles interactive applications and graphics on the fly.
Yet the article stops short of performance benchmarks, user‑experience data, or reliability metrics. It remains unclear whether the sheer token capacity translates into consistently better outputs, or how the “deep‑thinking” steps compare in accuracy to GPT 5.2’s reasoning abilities. Likewise, the rapid user adoption of Gemini 3 Pro could reflect novelty rather than sustained utility. Both releases mark a notable escalation in capabilities, but without independent evaluation the relative advantage of one over the other stays uncertain.
Further Reading
- Gemini 3 Flash vs. Gemini 3 Pro vs. ChatGPT 5.2: The Ultimate 2025 AI Comparison - Vertu
- GPT-5.2 Vs Claude Opus 4.5 Vs Gemini 3.0 Pro - Which One is Best for Coding? - Bind AI IDE
- ChatGPT 5.2 vs Gemini 3 Pro (HONEST Comparison) - YouTube
- How GPT-5.2 stacks up against Gemini 3.0 and Claude Opus 4.5 - RDWorld Online
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Common Questions Answered
How large is Gemini 3 Pro's context window compared to GPT 5.2?
Gemini 3 Pro provides a 1 million‑token context window, which is 2.5 times larger than GPT 5.2's window. This expanded capacity lets the model handle much longer documents without needing to split them into smaller chunks.
What multimodal capabilities does Gemini 3 Pro offer that set it apart from earlier models?
Gemini 3 Pro can process text, images, and video at 60 frames per second, as well as audio and code, all in a single pass. Earlier models typically struggled after a few hundred tokens or could only handle one media type at a time.
What is the purpose of Gemini 3 Pro's Deep‑Thinking mode and how many reasoning steps can it perform?
Deep‑Thinking mode enables the model to execute ten to fifteen logical reasoning steps without losing focus, addressing the "lose the thread" issue highlighted by CEO Demis Hassabis. This extended reasoning depth is designed for complex problem‑solving tasks.
When were Gemini 3 Pro and GPT 5.2 released, and how quickly did Gemini 3 Pro gain users?
Gemini 3 Pro launched on November 18 and rapidly amassed two billion users, while GPT 5.2 was released on December 9 after a "Code Red" acceleration. The swift user adoption underscores Gemini's strong market impact relative to its competitor.