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Gemini 3 Pro

Model ● Covered in 10 stories Compare ⇄ + Follow

Gemini 3 Pro is Google's AI model released in late 2025 for complex reasoning and multimodal tasks across consumer, developer, and enterprise applications. The model has been evaluated across multiple benchmarks, achieving a FACTS Score of 68.8% for factuality, 54.2% on Terminal-Bench 2.0 for tool use, and scoring 1501 Elo on the LMArena Leaderboard, while showing limited performance on specialized tasks like writing optimized multi-GPU kernels where it solved only 28 of 87 real-world problems in zero-shot evaluation.

Updated 3 August 2026

Specifications

No specifications recorded yet.

Latest developments

Cisco Foundation AI Releases Antares: 350M and 1B Open-Weight Models That Localize Known Vulnerabilities Inside Real Codebases MarkTechPost · 1 week ago · 24

ParallelKernelBench: Frontier LLMs can't write fast multi-GPU kernels (yet) Together AI · 1 month ago · 12

Protecting people from harmful manipulation Google DeepMind · 4 months ago · 7

Gemini 3.1 Pro: A smarter model for your most complex tasks Google DeepMind · 5 months ago · 1

A Guide to Which AI to Use in the Agentic Era One Useful Thing · 5 months ago · 22

Google's year in review: 8 areas with research breakthroughs in 2025 Google DeepMind · 7 months ago · 35

FACTS Benchmark Suite: Systematically evaluating the factuality of large language models Google DeepMind · 7 months ago · 33

Introducing Nano Banana Pro Google DeepMind · 8 months ago · 6

Timeline

Month Quarter Year

July 2026

22 Jul Cisco Foundation AI Releases Antares: 350M and 1B Open-Weight Models That Localize Known Vulnerabilities Inside Real Codebases

June 2026

23 Jun ParallelKernelBench: Frontier LLMs can't write fast multi-GPU kernels (yet)

March 2026

25 Mar Protecting people from harmful manipulation

February 2026

December 2025

November 2025

Google DeepMind releases Nano Banana Pro, an image generation and editing model based on Gemini 3 Pro Model release

Google releases Gemini 3 AI model with multimodal capabilities and agentic features Model release

20 Nov Introducing Nano Banana Pro
18 Nov Start building with Gemini 3
18 Nov A new era of intelligence with Gemini 3

Relationships

Products & technology

Google develops this model · 6 sources
Nano Banana Pro derived from this model · 1 source
Gemini 3.1 Pro derived from this model · 1 source
Google DeepMind develops this model · 1 source

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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