Google unveiled Gemini 3.5 at Google I/O 2026, positioning the model as its strongest entry yet against OpenAI and Microsoft in the AI coding market.

Gemini 3.5 advances coding, long-context reasoning, and multimodal tasks alongside updated Veo video generation and Imagen image creation tools.

What Google Gemini 3.5 Pro Can Do

Gemini 3.5 Pro delivers significant gains over Gemini 3.1 Pro in multi-file coding tasks, instruction following, and long-horizon agentic workflows.

The model handles context windows up to 2 million tokens, letting developers load entire codebases into a single prompt for debugging and refactoring.

Google also added native tool-use improvements in Gemini 3.5, making it more reliable for agentic tasks that require real-world API calls and data retrieval.

Google’s $100 Developer Tier and Pricing Strategy

At Google I/O, Google announced a new $100 per month AI developer subscription, positioning Gemini 3.5 as a cheaper alternative to OpenAI’s Pro plans.

Google CEO Sundar Pichai acknowledged Google was behind on agentic coding, saying it needed improvement on tool use and long-horizon instruction following.

Per CNBC’s coding war coverage, Google’s affordability angle is a direct counter to Microsoft’s Build 2026 model launch, targeting cost-sensitive developers on Azure and GCP.

Google vs Microsoft and OpenAI in AI Coding

The coding AI market has three serious competitors in mid-2026: OpenAI with GPT-5.5, Microsoft with MAI-Code-1-Flash, and Google with Gemini 3.5.

GitHub Copilot’s model-switching feature, which now includes Gemini 3.5, reflects how no single coding model dominates across all developer use cases.

As GeekWire’s analysis reported, Microsoft’s seven-model push at Build 2026 prompted Google to accelerate its developer pricing strategy earlier than planned.

Gemini 3.5 on the Math Olympiad: What It Signals

A Google AI model won gold at the International Mathematical Olympiad in June 2026, the first AI system to achieve that result in competition.

OpenAI also claimed a win at the same event with a different model, creating a disputed but landmark moment for AI mathematical reasoning.

Per Seeking Alpha’s report, the IMO results signal that frontier AI reasoning capabilities are advancing faster than most benchmark projections had estimated for 2026.

Gemini 3.5 Long-Context and Multimodal Features

The 2-million-token context window makes Gemini 3.5 the most practical model for legal document review, multi-file code analysis, and research synthesis.

Gemini 3.5 also supports native multimodal input, processing code alongside diagrams, screenshots, and video walkthroughs in a single conversation.

These capabilities complement the trends in our agentic AI systems 2026 coverage, where AI systems are being deployed for complex multi-step business workflows.

What Developers Should Know About Gemini 3.5

Developers on Google Cloud should test Gemini 3.5 in Vertex AI Studio before committing to architecture, as performance varies significantly by task type.

Gemini 3.5 performs best on structured coding and document tasks but still trails Claude Opus 4.8 on open-ended reasoning and creative problem solving.

The full competitive landscape is covered in our AI model race 2026 article, comparing GPT-5.5, Gemini 3.5, Claude, and Grok across real-world developer tasks.