TL; DR
- Gemini 3 claims to take multimodality to another level by seamlessly processing and understanding text, code, audio, and video inputs, and generating contextually relevant outputs across these modalities.
- It demonstrates a deeper understanding of complex relationships, enabling more accurate problem-solving, logical deduction, and strategic planning.
- For developers, Gemini 3 offers superior code generation, debugging, and explanation capabilities across a broader range of programming languages.
The Alphabet-owned company Google is heating the competition for large language models with the launch of Gemini 3. Touted as a significant leap forward in performance, Gemini 3 promises unparalleled improvements in understanding, reasoning, and generation. For now, Google is releasing the Gemini 3 Pro in preview, making it available today across multiple Google products.
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Gemini 3: Key Upgrades And Improvements
Multimodality Improvements
First and foremost, Gemini 3 claims to take multimodality to another level by seamlessly processing and understanding text, code, audio, and video inputs, and generating contextually relevant outputs across these modalities. This means users can, for example, provide an image and a spoken query, and receive a detailed explanation.
To back its claim, Google provides benchmark numbers for the MMMU-Pro (multimodal understanding and reasoning) and compares them with the Gemini 2.5 Pro. While the Gemini 3 Pro scores 81.0% on the benchmark, the Gemini 2.5 Pro maxed out at 68.0%, and GPT 5.1 (OpenAI’s latest model) scores 76.0%.
The model is also better at retrieving information from videos. It scores the highest on the Video-MMMU benchmark (better than Gemini 2.5 Pro and GPT 5.1).
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Better Reasoning Capabilities
Apart from improvements in multimodal understanding, Gemini 3 also provides significant strides in reasoning capabilities. It demonstrates a deeper understanding of complex relationships, enabling more accurate problem-solving, logical deduction, and strategic planning.
For instance, the Gemini 3 Pro scores 37.5% without using any additional tools or extensions in Humanity’s Last Exam (benchmark for academic reasoning). The second position in the comparison is secured by GPT 5.1 (26.5%), followed by Gemini 2.5 Pro (21.6%).
1 Million Token Context Window
Another key improvement in Google’s latest AI language model is a dramatically expanded context window, enabling it to process and retain far more information in a single interaction. For instance, the Gemini 3 Pro provides a context window of up to 1 million tokens, while the GPT 5.1 maxes out at 400,000 via the API and 272,000 via ChatGPT.
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Improved Code Generation
For developers, Gemini 3 offers superior code generation, debugging, and explanation capabilities across a broader range of programming languages. The model scores 2,439 points in the LiveCodeBench Pro platform, which, like the other benchmarks shared by Google, is higher than the score of the Gemini 2.5 Pro and GPT 5.1.
Interestingly, GPT 5.1 outperforms the Gemini 3 Pro language model on the SWE-Bench Verified benchmark, which tests agentic coding. While OpenAI’s model scores 76.3%, Google’s latest models score 76.2%. Meanwhile, the Claude Sonnet 4.5 does even better at 77.2%.
Other upgrades include increased speed and efficiency, and improved safety and alignment. Apart from the Gemini 3 Pro, there’s Gemini 3 Deep Think, which is even better at Humanity’s Last Exam, GPQA Diamond, and ARC-AGI-2.
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Gemini 3 Possible Use Cases
As mentioned in the official blog post, Gemini 3 should perform multi-faceted tasks better.
- For instance, the model can decipher and translate handwritten recipes in your family cookbook in different languages and transform it into a shareable family cookbook.
- Suppose you want to learn about a new topic. In that case, you can share academic papers, long-form video lectures, or tutorials on the subject, and the model can generate code for interactive flashcards, visualizations, or other formats.
- Furthermore, the model can analyze videos of a sports match, identify areas for improvement, and generate a training plan to improve overall performance.
- Gemini 3 also unlocks new generative UI experiences, such as immersive visual layouts in AI Mode.
Gemini 3: Availability
Google is rolling out Gemini 3 for everyone in the Gemini app and for Google AI Pro and Ultra subscribers in AI Mode in Search. Further, the model is available for developers via the Gemini API in AI Studio, the new agentic development platform Google Antigravity, and the Gemini CLI. Last but not least, the model is available for enterprises in Vertex AI and Gemini Enterprise.
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