Google announced Gemini 3 in early July 2026, its latest AI model with enhanced reasoning abilities, multimodal capabilities, and a one-million-token context window. The model is now available across Google products including Gemini app, AI Studio, and Vertex AI. Gemini 3 Deep Think outperforms its Pro variant on benchmarks like Humanity’s Last Exam, scoring 41% without tools and reaching 93.8% on GPQA Diamond. On ARC-AGI-2, the model achieves 45.1%, described as unprecedented performance.

The release comes as OpenAI and other AI labs compete on raw capability. Google’s emphasis on Gemini 3’s reasoning and coding abilities suggests the company is targeting professional use cases—software development, scientific research, and enterprise applications. The one-million-token context window means developers can feed the model entire codebases or documents without truncation.

Multimodal Reasoning and Vision

Gemini 3 combines reasoning, vision, and spatial understanding in a single model. Users can now ask the model to analyze images and reason about spatial relationships without switching between different tools. The multimodal integration aims to make Gemini 3 useful for tasks that require analyzing text, images, and video together.

The model scores 1487 Elo on WebDev Arena, topping the leaderboard for web development tasks. It achieves 54.2% on Terminal-Bench 2.0, a benchmark for terminal and command-line code generation. For developers using Google’s suite, Gemini 3 represents a meaningful upgrade in coding assistance.

Availability and Integration

Gemini 3 is available now in Google AI Studio, Vertex AI, and Google’s Gemini CLI. The model is also available in third-party platforms including Cursor, GitHub, JetBrains, Manus, and Replit. Google’s Antigravity, a new agentic development platform, also supports the model. Gemini 3 Deep Think mode, described as a reasoning-heavy variant, is coming to Ultra subscribers “soon.”

Google’s multi-platform release strategy differs from OpenAI’s API-first approach. By putting Gemini 3 in AI Studio immediately, Google lets developers experiment without signing up for paid tiers. Integration with popular IDEs like VS Code and JetBrains puts the model directly in developers’ workflows.

The Competitive Landscape

OpenAI released GPT-5.5 earlier in July. Anthropic has Claude Fable 5 available globally. Meta offers various models through Llama. The frontier AI market now has multiple high-capability options, and customers are choosing based on cost, latency, availability, and specialized performance on specific tasks.

Google’s Deep Think mode suggests the company is experimenting with the same scaling approach as OpenAI’s o1 family—using more compute during inference to improve reasoning. The coming-soon status indicates Google is fine-tuning the model and has supply constraints or wants to control user demand before full launch.

One-million-token context is meaningful only if the underlying model reason accurately across such long inputs. A model that forgets information from token 1 when processing token 999,999 is useless at scale. Gemini 3’s score on reasoning benchmarks suggests Google has solved that problem, at least for structured data.