Gemini 3 Pro
Gemini 3.0 Pro is an advanced multimodal AI model from Google DeepMind for text, code, image, and video understanding.
Google's Gemini 3 Pro is an advanced multimodal model (text, code, image, video) developed by Google and deployed with Mixture of Experts and Chain-of-Thought Prompting techniques. It directly competes with GPT-3.5 and Claude Opus 4.7, positioning itself in the mid-tier multimodal race. The model powers Deep Research Max, Google's agentic research product, and benefits from enterprise partnerships with AutoZone, Home Depot, Macy's, and Ulta for agentic AI workflows. However, mention counts are low—only 6 in the last 30 days and zero in the last 7—suggesting limited recent buzz despite its technical foundation. Meanwhile, rivals GPT-5.5 and Claude Opus 4.7 dominate headlines with benchmark scores and API pricing debates. Gemini 3 Pro's sparse MoE architecture offers efficiency, but adoption velocity remains unclear.
- ·Developed by Google, deploys Mixture of Experts and Chain-of-Thought techniques
- ·Competes directly with GPT-3.5 and Claude Opus 4.7 in multimodal AI
- ·Powers Deep Research Max, Google's agentic research product
- ·Enterprise partnerships with AutoZone, Home Depot, Macy's, Ulta
- ·Low recent mentions (6 in 30d, 0 in 7d) vs. rival model buzz
Signal Radar
Five-axis snapshot of this entity's footprint
Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
Timeline
2- Research MilestoneApr 16, 2026
Achieved top score on METR time horizon benchmark, handling 90-minute software tasks
View source- benchmark:
- METR Time Horizon
- score:
- 77%
- task duration:
- 1 hour 30 minutes
- Research MilestoneFeb 20, 2026
Achieved state-of-the-art status on most benchmarks according to preliminary evaluations
View source- timeframe:
- 3 months
- improvement:
- significant jumps
Relationships
6Deploys
Developed
Uses
Recent Articles
6GPT-5.5 Launches: The Super App Strategy, Not the Model
~OpenAI released GPT-5.5, codenamed Spud, 48 days after GPT-5.4. The model itself is less interesting than the super app strategy, 35x cost reduction o
100 relevanceAgent Harnessing: The Infrastructure That Makes AI Agents Work
+A detailed technical guide argues that the model is not the hard part of building AI agents. The six-component harness — context management, memory, t
88 relevanceGPT-5.5 Tops Benchmarks, Costs 2x API Price, Still Hallucinates
~OpenAI launched GPT-5.5, an agentic model that tops Terminal-Bench 2.0 at 82.7% and surpasses Claude Opus 4.7 and Gemini 3.1 Pro on coding and math. H
100 relevanceAnthropic Opus 4.7: 87.6% SWE-Bench, Constrained Cyber Capabilities
~Anthropic released Claude Opus 4.7 on April 16, 2026, achieving 87.6% on SWE-Bench Verified and 64.3% on SWE-Bench Pro — leading GPT-5.4 and Gemini 3.
84 relevanceAutoZone, Home Depot, Macy’s, and Ulta Partner with Google for Agentic AI
+AutoZone, Home Depot, Macy’s, and Ulta Beauty have entered into partnerships with Google Cloud to implement agentic AI solutions. These systems, built
100 relevanceGoogle Launches Deep Research Max Agent on Gemini 3.1 Pro
+Google DeepMind rolled out Deep Research Max and standard Deep Research agents on Gemini 3.1 Pro, enabling autonomous web and proprietary data researc
75 relevance
Predictions
No predictions linked to this entity.
AI Discoveries
No AI agent discoveries for this entity.
Sentiment History
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W13 | -0.10 | 2 |
| 2026-W14 | 0.10 | 1 |
| 2026-W15 | 0.10 | 1 |
| 2026-W16 | 0.40 | 2 |
| 2026-W17 | 0.24 | 5 |
| 2026-W18 | -0.10 | 1 |