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What is Gemini 3.5 Pro?

Gemini 3.5 Pro is Google’s next-generation flagship AI model built to deliver advanced reasoning, coding assistance, multimodal intelligence, and agent-driven workflow automation across consumer and enterprise environments. Introduced as part of the Gemini 3.5 family at Google I/O 2026, the model is positioned as a major upgrade focused on combining frontier-level intelligence with actionable AI capabilities. Gemini 3.5 Pro is expected to expand significantly on the performance of Gemini 3.5 Flash by improving complex reasoning, long-context comprehension, software engineering accuracy, and autonomous AI task execution. Google has described the broader Gemini 3.5 platform as being optimized for “frontier intelligence with action,” meaning the models are designed not only to generate responses but also to actively complete multi-step workflows and operational tasks. The model is expected to integrate deeply with Google’s AI ecosystem, including Gemini Spark, Antigravity, AI Studio, Android Studio, Workspace tools, Search AI Mode, and enterprise platforms. Industry discussions suggest Gemini 3.5 Pro will support advanced coding workflows, collaborative AI agents, multimodal inputs, and intelligent automation that can assist with application development, research, analytics, and operational management. Reports also indicate that Google delayed the full release of Gemini 3.5 Pro in order to further improve its reasoning and coding capabilities using real-world feedback collected through Gemini 3.5 Flash deployments. The Gemini 3.5 family already demonstrates strong performance in coding and agentic benchmarks, with Flash reportedly outperforming earlier Gemini Pro models in speed and automation-oriented tasks. Gemini 3.5 Pro is expected to focus more heavily on difficult reasoning problems, deeper contextual consistency, and large-scale enterprise-grade AI operations.

What is Composer 2.5?

Composer 2.5 is Cursor’s newest AI-powered coding model, designed to significantly improve software development productivity through stronger reasoning, enhanced collaboration, and better handling of complex engineering tasks. Compared to Composer 2, the new release delivers major gains in sustained coding performance, allowing developers to work on larger and more complicated projects with improved reliability. The model was trained using expanded compute resources, more advanced reinforcement learning environments, and additional optimization techniques focused on both intelligence and usability. Cursor also refined behavioral aspects of the AI, including communication style and effort calibration, to make interactions feel more natural and productive during real-world coding sessions. A major feature of Composer 2.5 is its targeted reinforcement learning system with textual feedback, which provides localized corrections during training when the model makes mistakes such as invalid tool calls or style violations. This approach helps the AI understand exactly where errors occur and improves its decision-making more effectively than broad reward signals alone. The company further strengthened the model by training it on 25 times more synthetic coding tasks than Composer 2, exposing it to a wider range of difficult engineering challenges and edge cases. These synthetic tasks included feature deletion exercises where the model had to reconstruct missing functionality in real codebases using automated tests as validation signals. During large-scale training, Composer 2.5 demonstrated advanced problem-solving capabilities by reverse-engineering cached data and decompiling Java bytecode to recover deleted APIs in synthetic environments. Cursor also implemented sophisticated distributed training systems such as Sharded Muon and dual mesh HSDP, allowing efficient optimization across extremely large AI models and infrastructure clusters.

Media

Media

Integrations Supported

Cursor
Amp
Anara
Clojure
F#
Gemini
Gemini Deep Research Max
GitHub
Google Antigravity
GrimoAI
Java
JavaScript
Jules
LobeHub
Nano Banana 2
Pi Agent
Playables Builder
Simtheory
Vivgrid
ZooClaw

Integrations Supported

Cursor
Amp
Anara
Clojure
F#
Gemini
Gemini Deep Research Max
GitHub
Google Antigravity
GrimoAI
Java
JavaScript
Jules
LobeHub
Nano Banana 2
Pi Agent
Playables Builder
Simtheory
Vivgrid
ZooClaw

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.50/M input
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

Company Facts

Organization Name

Cursor

Date Founded

2022

Company Location

United States

Company Website

cursor.com

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