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Gemini 3.5 Pro – Google DeepMind

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Google DeepMind

Gemini 3.5 Pro is a Flagship multimodal from Google DeepMind (United States / UK).

One-line fit: best used for Huge multimodal corpora, research.

Key specifications

Provider Google DeepMind
Model Gemini 3.5 Pro
Type Flagship multimodal
Context window 1M+ class
Pricing (indicative) Vertex/AI Studio tiers
Company category Frontier Lab
Region United States / UK
Official site https://deepmind.google

Benchmarks and public standing

Top-tier MMMU/video/reasoning suites (provider cards)

Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.

What this model is good at

Huge multimodal corpora, research

This aligns with Google DeepMind’s broader strengths:

  • Multimodal understanding
  • Workspace and Search distribution
  • Long-context research
  • Video/image generation

Limitations and watch-outs

SKU naming confusion

  • Rate limits, regional availability, and data retention policies vary by plan.
  • Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
  • Open-weight availability (if any) is separate from hosted API quality and safety filters.

Ideal users

  • Product engineers shipping features that match: Huge multimodal corpora, research
  • Teams standardizing on the Google DeepMind ecosystem
  • Agent builders who need a Flagship multimodal

When to pick something else

  • Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
  • Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
  • Giant multimodal corpora / Workspace: compare Gemini-class models.
  • Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.

Parent company

Google DeepMind – Google frontier research and product AI. Gemini powers Search, Workspace, Android, AI Studio, and Vertex AI.

Related models from Google DeepMind

Data is curated for AIForumSphere model directory mid-2026 directional figures.

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