AI model comparison
Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.
Gemini Deep Research Preview and Nano Banana 2 both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.
Google's agentic research model for multi-step investigation, priced at $2.00/$12.00 per million tokens with text and image output.
Accepts
Produces
Image model for prompt-driven generation, editing, and visual design workflows
Accepts
Produces
At a glance
This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.
Where Gemini Deep Research Preview leads in recorded data
Where Nano Banana 2 leads in recorded data
Context capacity
Higher listed limit
Gemini Deep Research Preview:1.0M
Nano Banana 2:131.1K
Gemini Deep Research Preview
Maximum output
Higher listed limit
Gemini Deep Research Preview:65.5K
Nano Banana 2:32.8K
Gemini Deep Research Preview
Input price
Lower recorded price
Gemini Deep Research Preview:$2.00
Nano Banana 2:$0.50
Nano Banana 2
Output price
Lower recorded price
Gemini Deep Research Preview:$12.00
Nano Banana 2:$60.00
Gemini Deep Research Preview
Output speed
Higher recorded throughput
Gemini Deep Research Preview:—
Nano Banana 2:—
No complete comparison
Time to first token
Lower recorded latency
Gemini Deep Research Preview:—
Nano Banana 2:—
No complete comparison
Intelligence Index
Higher directory index
Gemini Deep Research Preview:—
Nano Banana 2:—
No complete comparison
Evidence
A score appears only when both records include a verified source. It is not treated as a universal ranking.
Specifications
| Specification | Gemini Deep Research Preview | Nano Banana 2 |
|---|---|---|
| Provider | ||
| Model family | gemini-pro | gemini-flash |
| Accepted inputs | text, image, video, audio, pdf | text, image, video, pdf |
| Produced outputs | text, image | text, image |
| Context window | 1.0MRecorded lead | 131.1K |
| Max output | 65.5KRecorded lead | 32.8K |
| Intelligence Index | — | — |
| Input price / 1M | $2.00 | $0.50Recorded lead |
| Output price / 1M | $12.00Recorded lead | $60.00 |
| Output speed | — | — |
| Time to first token | — | — |
| Reasoning mode | Documented | Documented |
| Tool calling | Documented | Not documented |
| Image input | Documented | Documented |
| Audio input | Documented | Not documented |
| Structured output | Not documented | Not documented |
| License | Proprietary | Proprietary |
| Released | Apr 21, 2026 | May 28, 2026 |
Workload guidance
On the published numbers, Gemini Deep Research Preview accepts the larger context window and Nano Banana 2 is cheaper per input token. Which matters more depends on whether your bottleneck is document size or spend — the table above has the exact figures.
Provenance
Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.
Gemini Deep Research Preview
Google · model record and recorded source
Nano Banana 2
Google · model record and recorded source
Choose any two approved model records and review them with the same evidence rules.