gemini-3.1-pro-preview
Large & mixed
Long-context understanding and multimodal image-text analysis.
Recorded chat entry
Gemini models: 4 Argon, Pro, Flash, and image generation.
Gemini 4 Argon now appears on Floatboat’s pricing page. Compare that public listing with the recorded Pro, Flash, and image routes, keeping aliases and exact model IDs distinct.
Floatboat · Gemini
Current model
Gemini
What do you want to finish?
Analyze this document setCompare these screenshotsClassify this batch quickly
Describe the outcome or add project files…
- Inventory scope
- Recorded routes + current pricing listings
- Pro context
- 1M+ long context
- Inputs
- Long text · Images · Mixed material
- API key
- Not required
An analyst for material that is too large or varied to inspect piecemeal.
Gemini Pro is defined by how much source material it can keep in view; Flash is defined by how quickly it can turn repeated requests around.
Absorbs the whole source set
Pro style
Useful when splitting material would hide relationships.
Responds in quick cycles
Flash style
Useful for frequent, lightweight processing.
Text and images together
Input strength
Keeps visual and textual evidence in one analysis.
Remove the actual bottleneck
Decision rule
Choose Pro for breadth and Flash for pace.
Pro absorbs more; Flash turns work around faster.
Gemini's listed chat and image models do not all share the same entry point. Compare recorded routes with newer pricing-page listings, keeping the client picker, plan conditions, and separate image-generation workflow in view when choosing a version.
gemini-3.8-flash
Fast & repeated
Low-latency, high-throughput processing for frequent tasks.
Recorded chat entry
gemini-3-pro-image-preview
Nano Banana Pro record
Complex generation, precision editing, multi-image redraw, and style fusion.
Recorded Combo entryai-image-drawing
gemini-2.5-flash-image / gemini-3.1-flash-image-preview
Live image Combo
Recorded fast-image routes, including Gemini 3.1 Flash Image, known as Nano Banana 2. Provider version names may change; confirm the current entry.
Recorded Combo entryai-image-drawing
Gemini 4 Argon
Pricing-page listing
Appears in Floatboat’s current pricing-page lineup. Its client entry and exact runtime model ID have not been independently verified; do not substitute a Gemini 3.x ID.
Listed on pricing page
Official pricing page · 2026-11-02
Use Cases for Gemini Models
Cross-document research, screenshot reviews, and text classification organize evidence in different ways. Compare the sources, visual states, and sample checks each task requires before choosing an available Gemini route and preparing its input.
Cross-document research
Research across several documents requires a question and clear citation rules. Connect themes and compare claims while retaining disagreements and statements that remain unverified. A source-mapped synthesis should show which files support each conclusion and where evidence is still missing, rather than flattening the collection into one apparent consensus.
Visual product review
A visual product review can combine requirements, written feedback, and screenshots of the same flow. Map visible states to the expected behavior and prioritize findings by user impact. Ground each issue in the supplied screen evidence and requirements so a visual observation is not mistaken for an untested functional claim.
High-volume classification
Batch classification needs explicit categories, boundary rules, and labeled examples. Process the texts against those criteria, spot-check a sample, and retain ambiguous cases for review. Return classification results with exceptions and sample checks so volume does not hide where the rules need clarification.
Compare revisions of a source set
Updated documents can change a conclusion without changing the title of the project. Supply the earlier and current versions with the questions that matter, then trace additions, removed conditions, and conflicting statements to their locations. Keep confirmed changes separate from interpretation so the revision review can be checked against the actual material.
Long context, mixed inputs, and a faster companion model.
Large source sets, image-and-text analysis, and frequent responses impose different constraints on a workflow. Review the recorded Gemini capabilities alongside the separate image-generation lane so input understanding and producing a new image are not treated as the same operation.
1M+ context analysis
Gemini 3.1 Pro Preview is positioned for long documents, large code sets, and cross-file work.
Image-text understanding
Pro can analyze visual and textual material together in the client workflow.
High-throughput response
Gemini 3.8 Flash handles frequent lightweight requests with a faster cadence.
Separate image-generation lane
Gemini image models are live through `ai-image-drawing`, not the main chat picker.
Choose by what is slowing the work down.
Choose Gemini Pro when
- You need to inspect a large source set as a whole.
- The task combines images, text, or many files.
- Relationships across the material matter more than response speed.
Choose Flash or another route when
- The task is repeated, lightweight, and latency-sensitive.
- Deep architecture decisions are the main risk; consider Claude Opus.
- The deliverable is a generated image; use the drawing Combo.
Explore Other Model Families
Compare model families by the kind of work they support. Availability differs by model and entry point.
Gemini FAQ
Is Gemini 3.1 Pro still a preview model?
The recorded Floatboat ID is
gemini-3.1-pro-preview. This is an integration identifier from the earlier snapshot, not a claim about every current Google release; check the actual client entry.Should I always use Pro for better quality?
No. Flash is the better fit when latency and throughput define success; Pro is for context-heavy or multimodal analysis.
What does the 1M+ context help with?
It is useful when relationships across a large document set, many files, or mixed text-and-image material need to remain visible in one analysis.
Which Gemini image-generation models are listed?
The matrix lists
gemini-3-pro-image-preview, gemini-2.5-flash-image, and gemini-3.1-flash-image-preview for complex generation, editing, and faster image work.What is the Gemini 3.1 Pro model ID?
The earlier Floatboat record uses
gemini-3.1-pro-preview, with 3.1-pro as a display alias. Preserve the exact ID shown by the current integration rather than assuming provider naming has not changed.How can I tell whether a large-context Gemini run used the right evidence?
Plant a few verifiable questions across the source set and ask for references to the relevant files or passages. Check contradictory and low-salience details as well as the summary; fitting material into a window does not show that every part influenced the answer.
Is Gemini 4 Argon the same entry as Gemini 3.1 Pro?
No equivalence has been confirmed. Floatboat’s pricing page names Gemini 4 Argon separately; retain the distinction and use the model name and entry actually exposed in the client.
Read across files with Pro, move quickly with Flash
Choose Gemini 3.1 Pro for multimodal, long-context analysis and 3.8 Flash for fast passes over the same material.