New in Gemini: Live's biggest upgrade yet
Faster responses.
Smarter responses.
More EQ.
More linguistic range.
2x longer context.
Android and iOS, powered by Gemini 3.1 Flash.
Enjoy!
We’re also launching Immersive Navigation - our biggest navigation upgrade in over a decade!
A new vivid 3D view better reflects your surroundings, with helpful road details like lanes, crosswalks, traffic lights etc. Gemini models analyze real world imagery from Street View and aerial photos to give you an accurate view of landmarks along your route.
Starts rolling out in the US today.
We’re bringing new capabilities powered by Gemini models to @googlemaps.
With Ask Maps, get answers to complex questions about any place you want. For example it can help with complex requests like "Find me the best 3-hour family hikes in the Grand Tetons and a spot for a packed lunch”. Will try this next time I'm there:)
Rolling out now in the US and India.
For AI to be truly useful, it needs to understand you.
With Personal Intelligence, we’re beginning to solve this. With your permission, Gemini can now securely reason across your own data to answer questions that generic models simply can't - like suggesting plans based on travel dates in Gmail or your hobbies found in Photos. An exciting step towards a digital assistant that’s uniquely helpful to you.
I was riding in a @Waymo with my kids on a weekend afternoon on a quiet suburban road when another car recklessly cut across in front of us. The Waymo Driver handled it so well that the kids didn’t even notice. Grateful to our team!
We’ve been intensely cooking Gemini 3 for a while now, and we’re so excited and proud to share the results with you all. Of course it tops the leaderboards, including @arena, HLE, GPQA etc, but beyond the benchmarks it’s been by far my favourite model to use for its style and depth, and what it can do to help with everyday tasks.
Gemini 3 Pro is the new leader in AI. Google has the leading language model for the first time, with Gemini 3 Pro debuting +3 points above GPT-5.1 in our Artificial Analysis Intelligence Index
@GoogleDeepMind gave us pre-release access to Gemini 3 Pro Preview. The model outperforms all other models in Artificial Analysis Intelligence Index. It demonstrates strength across the board, coming in first in 5 of the 10 evaluations that make up Intelligence Index. Despite these intelligence gains, Gemini 3 Pro Preview shows improved token efficiency from Gemini 2.5 Pro, using significantly fewer tokens on the Intelligence Index than other leading models such as Kimi K2 Thinking and Grok 4. However, given its premium pricing ($2/$12 per million input/output tokens for <200K context), Gemini 3 Pro is among the most expensive models to run our Intelligence Index evaluations.
Key takeaways:
📖 Leading intelligence: Gemini 3 Pro Preview is the leading model in 5 of 10 evals in the Artificial Analysis Intelligence Index, including GPQA Diamond, MMLU-Pro, HLE, LiveCodeBench and SciCode. Its score of 37% on Humanity’s Last Exam is particularly impressive, improving on the previous best model by more than 10 percentage points. It also is leading in AA-Omniscience, Artificial Analysis’ new knowledge and hallucination evaluation, coming first in both Omniscience Index (our lead metric that takes off points for incorrect answers) and Omniscience Accuracy (percentage correct). Given that factual recall correlates closely with model size, this may point to Gemini 3 Pro being a much larger model than its competitors
💻 Advanced coding and agentic capabilities: Gemini 3 Pro Preview leads two of the three coding evaluations in the Artificial Analysis Intelligence Index, including an impressive 56% in SciCode, an improvement of over 10 percentage points from the previous highest score. It is also strong in agentic contexts, achieving the second highest score in Terminal-Bench Hard and Tau2-Bench Telecom
🖼️ Multimodal capabilities: Gemini 3 Pro Preview is a multi-modal model, with the ability to take text, images, video and audio as input. It scores the highest of any model on MMMU-Pro, a benchmark that tests reasoning abilities with image inputs. Google now occupies the first, third and fourth position in our MMMU-Pro leaderboard (with GPT-5.1 taking out second place just last week)
💲Premium Pricing: To measure cost, we report Cost to Run the Artificial Analysis Intelligence Index, which combines input and output token prices with token efficiency to reflect true usage cost. Despite the improvement in token efficiency from Gemini 2.5 Pro, Gemini 3 Pro Preview costs more to run. Its higher token pricing of $2/$12 USD per million input/output tokens (≤200k token context) results in a 12% increase in the cost to run the Artificial Analysis Intelligence Index compared to its predecessor, and the model is among the most expensive to run on our Intelligence Index. Google also continues to price long context workloads higher than lower context workloads, charging $4/$18 per million input/output tokens for ≥200k token context.
⚡ Speed: Gemini 3 Pro Preview has comparable speeds to Gemini 2.5 Pro, with 128 output tokens per second. This places it ahead of other frontier models including GPT-5.1 (high), Kimi K2 Thinking and Grok 4. This is potentially supported by Google’s first-party TPU accelerators
Other details: Gemini 3 Pro Preview has a 1 million token context window, and includes support for tool calling, structured outputs, and JSON mode
See below for further analysis
We just shipped our biggest update to Gemini Live ever. It's smarter. It's more expressive. It has accents. And my favorite: it can talk faster! Here are 3 ways people are already using it in @GeminiApp. 🧵
New breakthrough quantum algorithm published in @Nature today: Our Willow chip has achieved the first-ever verifiable quantum advantage.
Willow ran the algorithm - which we’ve named Quantum Echoes - 13,000x faster than the best classical algorithm on one of the world's fastest supercomputers. This new algorithm can explain interactions between atoms in a molecule using nuclear magnetic resonance, paving a path towards potential future uses in drug discovery and materials science.
And the result is verifiable, meaning its outcome can be repeated by other quantum computers or confirmed by experiments.
This breakthrough is a significant step toward the first real-world application of quantum computing, and we're excited to see where it leads.
Anna Bortsova, a Google UX Engineer, used Gemini 2.5 Pro to generate text-to-video prompts for Veo 3 and created a series of charming paper engineering stop-motion animations with paper-rustling sounds.
After experimenting in the @GeminiApp to help with prompt writing, she learned that a well crafted ‘meta-prompt’ describing the 8-second shot (textures, materials, and animation style) consistently generated high-quality Veo 3 prompts. This approach helped her dedicate her creative focus to exploring diverse video themes, while Gemini handled prompt writing.
To create this summer-inspired beach animation, Anna asked the @GeminiApp to craft prompts specifically for video LLMs like Veo 3. Then she used the generated prompts and the 'video' tool in Gemini to make several vivid and stylized videos.
We know you’ve been waiting for this! Whisk is going global and is now available in over 100 countries 🌍! We can't wait to see where your imagination takes you. Get started today at https://t.co/BR1z7gm5Cy