Google Gemini
Search-GroundedGemini 3.1 — 1M context, search-grounded answers, and the Nano Banana visual line.
Google DeepMind's Gemini 3.1 family pairs a 1M-token context window with native Search Grounding — the model verifies facts against Google's live index in-line, scoring 94.3% on the GPQA Diamond benchmark for scientific reasoning. The 'Nano Banana' image series (built on Gemini 3.1 Flash Image and Gemini 3 Pro Image) takes a reasoning-first approach to visuals, applying deep context understanding before generating, which translates into accurate text rendering, 3D object manipulation, and character consistency across frames.
Models
Gemini 3.1 Pro
LatestSearch-grounded research, 94.3% GPQA Diamond
Context Window
1M
Max Output
65K tokens
Input Price
$2.00 / 1M
Output Price
$12.00 / 1M
Input Types
Text, Images, Video, Audio, Code
Output Types
Text, Code, JSON
Gemini 3.1 Flash
Real-time multimodal apps at production scale
Context Window
1M
Max Output
65K tokens
Input Price
$0.14 / 1M
Output Price
$0.28 / 1M
Input Types
Text, Images, Video, Audio
Output Types
Text, Code
Gemini 3 Flash-Lite
Highest-volume simple tasks at near-zero cost
Context Window
500K
Max Output
8K tokens
Input Price
$0.025 / 1M
Output Price
$0.075 / 1M
Input Types
Text, Images
Output Types
Text
Nano Banana 2
VisualReasoning-first visuals — accurate text, 3D control, character consistency
Context Window
131K (input)
Input Price
Billed per image
Input Types
Text, Reference images
Output Types
Image
Nano Banana Pro
Top-end visual reasoning for production design
Context Window
131K (input)
Input Price
Billed per image
Input Types
Text, Reference images
Output Types
Image
Use Cases
Search-Grounded Research
Gemini 3.1 Pro pulls from Google's live index to verify facts and cite sources in real time — ideal for market intel and competitive research agents.
Long-Context Analysis
1M tokens lets you load entire repos, legal corpora, or multi-hour transcripts in one pass — no chunking, no retrieval pipeline.
Reasoning-Based Image Gen
Nano Banana 2 understands the context of a prompt before rendering — accurate brand text, geometrically correct 3D objects, consistent characters across a series.
High-Volume Multimodal
Flash-Lite handles billions of low-complexity classification and routing tasks at < $0.10 per million tokens.
Why use Google Gemini on Nagent?
Nagent adds enterprise orchestration, observability, and workflow automation on top of Google Gemini's raw model capabilities.
1M context means we send full documents to Gemini directly — no chunking decisions to manage
Native Search Grounding cuts the need for a separate web-research tool in many agent stacks
Nano Banana for visual workflows that previously needed a separate diffusion model
Configurable Thinking Levels (Minimal / High / Dynamic) let you trade latency for quality per request
How to access Google Gemini on Nagent
Open Agent Studio
Navigate to Agent Studio in your Nagent workspace.
Select Google Gemini
Pick the right Gemini tier — Pro for depth, Flash for speed, Flash-Lite for volume, Nano Banana for visuals.
Toggle Grounding
Enable Search Grounding in the model settings if your agent needs cited, fact-verified outputs.
Common questions about Google Gemini
Real buyer and developer questions, answered. Click any item to expand.
What is Search Grounding and when should I enable it?
When your agent needs current facts or attributed answers. Gemini queries Google's live index in-line and returns inline citations. Adds slight latency but eliminates the need for a separate web-search tool in many agent stacks.
Is Nano Banana 2 a separate provider from Gemini?
No — Nano Banana 2 and Pro are Google's reasoning-first image models built on the Gemini family. Best when image accuracy matters: text rendering, real product likeness, character consistency across a series.
How do I use Gemini's 1M context window without burning budget?
Use Gemini 3.1 Flash for routine 1M-context work ($0.14 / $0.28 per 1M tokens). Reserve 3.1 Pro for complex reasoning that genuinely needs the full window. Flash-Lite handles high-volume simple tasks at ~$0.025 per 1M.
Can I run Gemini in EU regions?
Yes — Gemini supports EU data residency through Vertex AI. Configure the region in your Nagent workspace settings before deploying so all inference and storage stay on EU infrastructure.
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