Gemini 3.1 Pro is Rivya's higher-depth Gemini AI chat model for multimodal research, technical writing, structured analysis, and longer reasoning threads.
High-capability Gemini reasoning and instruction followingDetailed analysis across longer source packetsVision support with up to 6 images
Input
Prompt + optional images
Output
AI Chat Assistant
Credits
Pay per use — credits based on usage
Best for
Long-context research packets and comparison work
Example output
Example output
Best for weekly metrics reviews, growth updates, and board memo drafts.
Check the input, output, credits, and example result, then try this model directly on the page. Move into Studio when you need saved history, assets, or longer iteration.
Example output
Best for weekly metrics reviews, growth updates, and board memo drafts.
chat thread
Ask Rivya to help with planning, prompting, analysis, or coding.
Chat preview for a data insight narrative prompt.
Output
Best for weekly metrics reviews, growth updates, and board memo drafts.
Best for
Long-context research packets and comparison workRepo or spec review across larger inputsKnowledge synthesis from mixed materialsDetailed technical or product strategy briefs
Supports
Chat
Online trial
Use Gemini 3.1 Pro
Use Gemini 3.1 Pro when multimodal research, technical writing, and structured analysis need a deeper Gemini pass.
Input setup
Prepare this run
Estimated credits: 3+
Chat controls
Choose when Rivya can search the web, how much reasoning it should use, and whether to include model thoughts when the selected model supports them.
Web search
Allow supported models to pull live web results during the reply.
Reasoning
Use the model default, or request a stronger or lighter reasoning level when available.
Thoughts
Let the model default decide, or explicitly include or hide thought traces when the provider supports them.
Start a conversation to turn planning, prompting, and creative direction into one reusable thread.
Prompt starters
Start Gemini 3.1 Pro with a proven prompt
Use a template already mapped to Gemini 3.1 Pro when you want a stronger first run than a blank prompt.
Ask Rivya to help with planning, prompting, analysis, or coding.
Chat preview for a data insight narrative prompt.
Output
Best for weekly metrics reviews, growth updates, and board memo drafts.
Lead sample
Best for weekly metrics reviews, growth updates, and board memo drafts.
Chat preview for a data insight narrative prompt.
Input
Prompt + optional images
What to notice
Chat preview for a data insight narrative prompt.
Credits per use
Pay per use — credits based on usage
Why this model works
Why this model works
High-capability Gemini reasoning and instruction following
Detailed analysis across longer source packets
Vision support with up to 6 images
Best-fit tasks
Best-fit tasks
Long-context research packets and comparison workRepo or spec review across larger inputsKnowledge synthesis from mixed materialsDetailed technical or product strategy briefs
Model proof
chat thread
Ask Rivya to help with planning, prompting, analysis, or coding.
Thread preview for the Rivya chat prompt template Sales Objection Handler Chat.
Structured conversation example for Sales Objection Handler Chat.
Thread preview for the Rivya chat prompt template Sales Objection Handler Chat.
chat thread
Ask Rivya to help with planning, prompting, analysis, or coding.
Thread preview for the Rivya chat prompt template Feature Prioritization with RICE.
Structured conversation example for RICE feature prioritization.
Thread preview for the Rivya chat prompt template Feature Prioritization with RICE.
Decision fit
When this model is the right choice
Decision fit
Fit signals
High-capability Gemini reasoning and instruction following
Detailed analysis across longer source packets
Vision support with up to 6 images
Suited to demanding analytical tasks
20K-character context window
Best-fit tasks
Use it when the task looks like this
Long-context research packets and comparison workRepo or spec review across larger inputsKnowledge synthesis from mixed materialsDetailed technical or product strategy briefs
Quiet facts
Inputs, output, and credits to confirm
Provider
Google
Category
Chat
Capabilities
Chat
Credit model
Pay per use — credits based on usage
Input path
Prompt + optional images
Prompt setup
Up to 20,000 chars
FAQ
Gemini 3.1 Pro FAQ
When should I use Gemini 3.1 Pro for chat work?
Use Gemini 3.1 Pro for long research packets, large repo or specification reviews, mixed-source comparisons, and detailed technical or product briefs. It is most useful when breadth of context and careful instruction following matter more than the fastest response.
What is Gemini 3.1 Pro's real scope on Rivya right now?
On Rivya, Gemini 3.1 Pro currently runs as a chat project that can also work from image inputs.
Which controls or inputs matter most once you're evaluating Gemini 3.1 Pro for real work?
Organize the source packet, identify the decision or comparison criteria, and specify the expected deliverable. For mixed materials, tell the model which evidence is authoritative and where uncertainty should be called out.
When is Gemini 3.1 Pro worth token-based spend?
Rivya currently bills 100 input credits and 700 output credits per million tokens. Use that tier when the model must synthesize a larger source set or produce a review-ready brief, not for short routine questions.
When should I choose Gemini 3.1 Pro over lighter or more expensive chat models?
Choose Gemini 3.1 Pro for larger, more demanding research and review tasks. Choose Gemini 3 Flash for faster triage, or another lower-cost model when the source set and decision are simple.
What can I test first on this page?
Start here when the first response should test multimodal research, technical writing, spec review, or structured analysis on one specific Gemini model. That gives you a contained first turn to check the prompt, direction, and response quality before moving into a longer project.
What can I set up on this page?
This page is set up as the public chat entry for Gemini 3.1 Pro. That helps when long-context research packets and comparison work depend on screenshots, charts, or other visual evidence from the first turn.
What should I line up before I send the first turn?
Before the first turn, line up the question, the source material, and any screenshots, charts, or visual evidence you want the model to read. On Gemini 3.1 Pro, that first packet usually matters more than extra settings whenever long-context research packets and comparison work depend on visual evidence.
Do I need to sign in before I send here, and how do credits work?
The page is publicly visible, but the actual first send is still gated behind sign in. Rivya currently bills this by usage: 100 input credits and 700 output credits per million tokens. You can use this page to frame the question and choose the model first, then sign in when you are ready to start the live thread.
When should I stay on this page, and when should I move into the full Studio?
Stay on this page while the job is still a first conversation and you are testing whether Gemini 3.1 Pro can get traction on long-context research packets and comparison work from the first turn. Open the full Studio once the work needs saved context, attached files, follow-up rounds, or a thread you know you will keep expanding.
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