GPT-5.2 vs Gemini 3: Benchmark Showdown, Features, Pricing, and What AI Users Should Know

OpenAI has newly introduced the GPT-5.2 model. It is the latest artificial intelligence model of the company, which is set to compete directly with Google's Gemini 3. This release is the result of the intensifying competition from Google, who with its Gemini 3, has already gained a leadership position in the field of artificial intelligence and performance tests. Moreover, some sources report that OpenAI lost almost 6% of its website traffic in just two weeks after the launch of Gemini 3.

Now, let’s see how GPT-5.2 stands against Gemini 3 with respect to performance, features, and pricing? Here is the comparison.

Benchmark Performance: Mixed Results, Early Days

OpenAI has branded GPT-5.2 as a model that is suitable for professional knowledge work with maximum productivity in:

Spreadsheet preparation

Presentation making

Coding

Analyzing images

Longer context understanding

Handling multifaceted projects

The results on benchmark tests are mixed:

Benchmark GPT-5.2 Gemini 3 Notes

SWE-bench verified 80% 76.2% GPT-5.2 slightly ahead

Humanity’s Last Exam (HLE, no tools) 34.5% 37.5% Gemini 3 leads

GPQA Diamond 92.4% 91.9% GPT-5.2 slightly ahead

AIME 2025 (no tools) 100% 95% GPT-5.2 tops

MMMLU 89.6% 91.8% Gemini 3 ahead

Overall, GPT-5.2 wins some, and Gemini 3 wins others, so in terms of raw performance, the race is very close.

LMArena Leaderboards: Where Each Model Excels

GPT-5.2 shows promise in web development tasks and with the higher-end GPT-5.2-high ranking second behind Claude Opus 4.5. Gemini 3 Pro sits in fourth, and base GPT-5.2 is in sixth. However, Gemini 3 dominates the overall leaderboard across text, vision, text-to-image, and image-editing categories leaving GPT-5.2 unranked in most areas for now.

Features and Platform Integration

Both models are part of broader AI ecosystems:

GPT-5.2: Available through ChatGPT Plus and Pro with direct image creation in ChatGPT. Video generation requires the Sora app. Enterprise access is available through the OpenAI API.

Gemini 3: Integrated into multiple Google products, including Google AI Mode, Google apps, and AI Studio tools such as NotebookLM. Users can natively create both AI-generated images and videos.

Conclusion: Gemini 3 provides more options while GPT-5.2 is limited to professional knowledge tasks.

Pricing Comparison

Both companies offer their AI at similar prices:

Plan GPT-5.2 Gemini 3

Base subscription $20/month (ChatGPT Plus) $20/month (Google AI Pro)

Premium plan $200/month (Pro) $249.99/month (Ultra; includes cloud storage)

API input cost $1.75 per 1M tokens $2 per 1M tokens

API output cost $14 per 1M tokens $12 per 1M tokens

For the majority of the users, the monthly subscription fee is nearly the same, with only minor discrepancies in API pricing based on input/output usage.

Which AI Model Should You Choose?

The answer will depend on what you value most:

GPT-5.2: Professional knowledge work, coding, spreadsheets, and multi-step projects would reap the most benefit from it.

Gemini 3: Better in multi-modal tasks (text, vision, video), integrated workflows, and Google ecosystem access.

Advice: Experiment with both platforms to find out which one suits your workflow and AI usage patterns better.