Gemini 3 Pro
MultimodalGemini 3 Pro is the first model in the new Gemini 3 series. Best suited for complex tasks requiring broad world knowledge and advanced reasoning across modalities. Gemini 3 Pro uses dynamic thinking by default to reason over prompts and has a 1 million token input context window with up to 64k output tokens.
Key Specifications
Parameters
-
Context
1.0M
Release Date
November 17, 2025
Average Score
94.7%
Timeline
Key dates in the model's history
Announcement / Last Update
November 17, 2025
Today
March 25, 2026
Technical Specifications
Parameters
-
Training Tokens
-
Knowledge Cutoff
January 1, 2025
Family
-
Capabilities
MultimodalZeroEval
Pricing & Availability
Input (per 1M tokens)
$2.00
Output (per 1M tokens)
$12.00
Max Input Tokens
1.0M
Max Output Tokens
65.5K
Supported Features
Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning
Benchmark Results
Model performance metrics across various tests and benchmarks
Reasoning
Logical reasoning and analysis
GPQA
Without tools • Self-reported
Other Tests
Specialized benchmarks
AIME 2025
With code • Self-reported
MMMLU
• Self-reported
License & Metadata
License
proprietary
Announcement Date
November 17, 2025
Last Updated
November 17, 2025
Compare Gemini 3 Pro
All comparisonsArticles about Gemini 3 Pro
Similar Models
All ModelsGemini 3 Flash
MM
Best score:0.9 (GPQA)
Released:Dec 2025
Price:$0.50/1M tokens
Gemini 3.1 Pro
MM
Best score:0.9 (GPQA)
Released:Feb 2026
Price:$2.50/1M tokens
Gemini 2.5 Pro
MM
Best score:0.8 (GPQA)
Released:May 2025
Price:$1.25/1M tokens
Gemini 2.5 Pro Preview 06-05
MM
Best score:0.9 (GPQA)
Released:Jun 2025
Price:$1.25/1M tokens
Gemini 2.0 Flash Thinking
MM
Best score:0.7 (GPQA)
Released:Jan 2025
Gemini 1.5 Pro
MM
Best score:0.9 (MMLU)
Released:May 2024
Price:$2.50/1M tokens
Gemini 1.5 Flash
MM
Best score:0.8 (MMLU)
Released:May 2024
Price:$0.15/1M tokens
Gemini 2.0 Flash
MM
Best score:0.6 (GPQA)
Released:Dec 2024
Price:$0.10/1M tokens
Recommendations are based on similarity of characteristics: developer organization, multimodality, parameter size, and benchmark performance. Choose a model to compare or go to the full catalog to browse all available AI models.
