Gemini 3 Pro
✓ VerifiedGoogle's multimodal reasoning model (preview)
Pricing and features change frequently—confirm on the vendor site.
About
Gemini 3 Pro is Google's preview multimodal reasoning model for the Gemini API. It supports 1M token inputs with up to 64K output tokens, handles text, images, PDFs, and video, and adds thinking levels, thought signatures, and grounded tool use for agentic coding and planning workflows.
Key Features
- ✓Preview multimodal model with 1M token context and up to 64K output
- ✓Supports text, images, PDFs, and video with configurable media_resolution
- ✓Tool support: Google Search grounding, File Search, Code Execution, URL Context, and function calling (no Google Maps or Computer Use)
- ✓Thinking levels and thought signatures for controllable reasoning and agentic workflows
- ✓Context caching and Batch API supported for lower-cost processing
- ✓Knowledge cutoff January 2025; use Search grounding for fresher information
Use Cases
Technical Details
Languages
AI Models
Integrations
Frequently Asked Questions
What is Gemini 3 Pro?
Gemini 3 Pro is Google's preview multimodal reasoning model for the Gemini API. It supports 1M token inputs with up to 64K output tokens, handles text, images, PDFs, and video, and adds thinking levels, thought signatures, and grounded tool use for agentic coding and planning workflows.
How much does Gemini 3 Pro cost?
Gemini 3 Pro offers pay-per-use pricing. Plans include: Paid (Preview): $2.00 / 1M input (<=200K tokens) or $4.00 / 1M (>200K); $12.00 / 1M output (<=200K) or $18.00 / 1M (>200K).
What programming languages does Gemini 3 Pro support?
Gemini 3 Pro supports 1+ programming languages including Any (via API).
What AI models does Gemini 3 Pro use?
Gemini 3 Pro is powered by gemini-3-pro-preview, gemini-3-pro-image-preview.
What platforms does Gemini 3 Pro support?
Gemini 3 Pro is available on API.
What can Gemini 3 Pro do?
Gemini 3 Pro provides code generation, AI chat, agentic/autonomous mode. Key features include: Preview multimodal model with 1M token context and up to 64K output, Supports text, images, PDFs, and video with configurable media_resolution, Tool support: Google Search grounding, File Search, Code Execution, URL Context, and function calling (no Google Maps or Computer Use).
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Pricing
Paid (Preview)
$2.00 / 1M input (<=200K tokens) or $4.00 / 1M (>200K); $12.00 / 1M output (<=200K) or $18.00 / 1M (>200K)- •No free tier in Gemini API; try free in Google AI Studio
- •Context caching $0.20 / 1M tokens (<=200K) or $0.40 / 1M (>200K) plus $4.50 / 1M tokens per hour storage
- •Search grounding 5,000 prompts/month free; then $14 / 1K queries when billing starts Jan 5, 2026 (coming soon)
Company
- Name
- Founded
- 1998
- Location
- Mountain View, CA