OpenAI's most advanced model with state-of-the-art agentic coding and computer-use capabilities.
ChatGPT vs Gemini
OpenAI's GPT-5.5 vs Google DeepMind's Gemini 3.1 Pro — two flagship multimodal AI models that take very different approaches.
Google's flagship with native multimodal grounding, 77.1% on ARC-AGI-2 and a 1M-token context window.
| ChatGPT (GPT-5.5) | Gemini (3.1 Pro) | |
|---|---|---|
| Latest flagship | GPT-5.5 (Apr 2026) | Gemini 3.1 Pro (Feb 2026) |
| Context window | 256K tokens | 1M tokens |
| ARC-AGI-2 | Strong | 77.1% (state-of-the-art) |
| Multimodal | Text + image + voice | Text + image + audio + video + code repos |
| Real-time data | Tool-based | Via Google Search grounding |
| Best at | Agentic coding | Multimodal reasoning, video understanding |
Pick GPT-5.5 for agentic coding, computer-use agents and pure text reasoning where you want the OpenAI ecosystem.
Pick Gemini 3.1 Pro when your workload mixes long video, audio and image inputs, or when you need a 1M-token context with native multimodal grounding.
The verdict
GPT-5.5 is the agentic-coding king; Gemini 3.1 Pro is the multimodal reasoning king. They are complementary tools rather than direct substitutes.
Frequently Asked Questions
Which has a bigger context window?
Gemini 3.1 Pro has a 1M-token context vs GPT-5.5's 256K.
Can Gemini understand video?
Yes — Gemini 3.1 Pro is natively multimodal across text, audio, image and video.