Gemini 3.1 Pro vs ChatGPT 5.2 (GPT-5.2): Which AI Is Better for Reasoning, Writing, and Coding in 2026?

Both Gemini 3.1 Pro and ChatGPT 5.2 (GPT-5.2) are positioned as high-performance AI models for reasoning, writing, and coding. But once you start paying for tools and integrating them into daily work, the real question becomes practical: which one should you use, and for what?
This guide compares Gemini 3.1 Pro and GPT-5.2 using official primary sources (release blogs, model pages, changelogs, and pricing pages). The focus is simple: help you choose the right model for reasoning tasks, long-form content, software development, and blog production.
Scope and Assumptions
Gemini 3.1 Pro
- Announced on the official Google blog on February 19, 2026
- Lists ARC-AGI-2 verified 77.1%
- Provided in the Gemini API as Gemini 3.1 Pro Preview
ChatGPT 5.2 (GPT-5.2)
- Published on the official OpenAI blog on December 11, 2025
- Lists SWE-Bench Pro 55.6% (Verified 80%)
- States knowledge cutoff: August 2025 in official release notes
Reasoning Performance Comparison
Where Gemini 3.1 Pro stands out
- Strong emphasis on benchmark gains in reasoning
- ARC-AGI-2 score is highlighted clearly
- Positioned as a stronger baseline for complex tasks
Practical upside
- Good fit for users who prioritize benchmark-backed reasoning improvements
- Strong integration path with Google tooling such as CLI and Android Studio workflows
Caution
- The model is presented as a Preview, so output consistency may vary by use case
Where GPT-5.2 stands out
- Emphasizes practical performance, especially coding-oriented evaluation
- SWE-Bench Pro metrics are clearly stated
- Highlights improvements in long-form reasoning and factual reliability
Practical upside
- Better for teams that value operational stability and clear API behavior
- Easier to standardize in production workflows due to explicit model controls
Caution
- Official guidance still recommends verification for critical decisions
Long-Form Writing and Blog Workflow
Gemini 3.1 Pro for research-heavy drafting
- Strong connection to Gemini apps, NotebookLM, and Deep Research workflows
- Effective for: gathering sources, organizing ideas, and creating first drafts
Best use
- Early-stage blog production where research breadth matters most
Limitation
- As a preview model, draft quality can fluctuate in edge cases
GPT-5.2 for editing and final quality
- Designed for long-document integration
- Supports high-context processing (up to 400,000 tokens)
- Knowledge cutoff is explicitly stated (August 2025)
Best use
- Mid-to-late stage writing: structure cleanup, argument consistency, and final polish
Limitation
- Still requires factual checks for high-stakes claims
Coding and Development Workflow
Gemini 3.1 Pro
- Gemini CLI
- Android Studio integration
- Google Antigravity
- Vertex AI pathways
Strength
- Strong ecosystem fit for teams already working inside Google-centered development stacks
GPT-5.2
- Clear API specifications
reasoning.effortcontrol- Publicly stated SWE-Bench Pro evaluation
Strength
- Practical for code assistance where predictability and API clarity are priorities
Pricing Snapshot (Official Sources)
Gemini
- Google AI Pro: 2,900 JPY/month (with a 1-month free period)
- Google AI Ultra: 36,400 JPY/month (discount periods may apply)
ChatGPT
- Free / Go / Plus / Pro / Business / Enterprise tiers
- GPT-5.2 is available on plans such as Plus (availability may vary)
- Final pricing can change depending on region, campaign, and display conditions
Always confirm final prices on official pages before purchase.
Which One Should You Choose?
If your priority is blogging
- Research-first workflow -> Gemini 3.1 Pro
- Long-form editing and final draft quality -> GPT-5.2
If your priority is software development
- IDE/CLI integration in Google ecosystem -> Gemini 3.1 Pro
- API clarity and practical coding stability -> GPT-5.2
Final Recommendation
Gemini 3.1 Pro is strong for benchmark-oriented reasoning progress and Google ecosystem integration. GPT-5.2 is strong for practical stability, long-form consolidation, and production-friendly coding support.
For many teams, the most reliable workflow is:
1. Research with Gemini 3.1 Pro
2. Structure, edit, and finalize with GPT-5.2
This role split reduces overlap, improves reproducibility, and usually leads to better output quality across both writing and development tasks.