AI model by Google
Gemini 3.1 Pro for business
Google's most advanced Gemini model for reasoning, software engineering and agent work, reading text, images, audio, video and PDFs. Available as a preview.
- Reviewed on September 24, 2026
Capability tiersRelative, not benchmarks
Key facts about Gemini 3.1 Pro
- Model ID at review
- gemini-3.1-pro-preview
- Provider
- Main category
- Reasoning
- Open weights
- No, available as a hosted service
- Last reviewed
- September 24, 2026
Fit
Where it fits and where it does not
Good at
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Advanced reasoning across long and mixed inputs.
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Reading video, audio, images and PDFs directly.
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Software engineering and agent workflows.
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Very long inputs, up to about one million tokens.
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Tool calling and structured outputs.
Not the right choice for
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Production systems that require a stable, non-preview model.
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High-volume simple tasks, where Flash-Lite is far cheaper.
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Instant chat replies.
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Self-hosting.
Use cases
Business use cases we would use it for
Video and meeting review
Mixed document packs
Our notes
When we would choose it
Gemini 3.1 Pro is Google's most advanced Gemini model at the time of review, positioned for advanced reasoning, software engineering and agentic workflows. It accepts text, images, video, audio and PDFs, supports tool calling and structured outputs, and has an input window of about one million tokens.
The important caveat is status. Google offers it as a preview, and no stable 3.x Pro model was listed at review time. Preview models can change and carry different terms. For production, we would either wait for a stable release, use Gemini 3.8 Flash, which is stable, or keep a tested fallback from another provider.
Its strongest point is native multimodal input. Where other models need separate steps for video or audio, Gemini can take them in one request. That suits reviewing recorded calls, training videos, site footage and mixed document packs.
If you still run Gemini 2.5 Pro, note that Google now marks the 2.5 models as legacy with limited access for new projects. We would test 3.1 Pro against Claude Opus and GPT-6 Astra on your real tasks. See AI model evaluation.
Before you commit
Things to check before you commit
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Preview status
Gemini 3.1 Pro is a preview model. Check the terms and plan a fallback for production.
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Premium price
It is the premium Gemini tier. Measure cost per task.
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Data terms
Check the data terms for the Gemini API or Vertex AI tier you use.
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Legacy models
Gemini 2.5 models are now legacy with limited access. New projects should use current models.
Alternatives
Models to compare it with
Gemini 3.8 Flash
Google's most capable Flash model, stable since September 2026, for agents, software engineering and enterprise workflows with full multimodal input.
Claude Opus 5.5
Anthropic's recommended starting point for most serious work: long-running agentic coding and knowledge work, with a 1M token context window.
GPT-6 Astra
OpenAI's most capable model, built for the hardest end-to-end work: complex reasoning, coding, computer use and research.
Keep exploring
Solutions, services and guides
Related services
View all related services- AI agents AI that takes actions in your systems, such as qualifying leads or processing requests, with people checking the results.
- Computer vision Software that reads photos and scans: damage checks, stock counts, document capture and quality control.
- LLM integration Add a large language model to software you already have, with the guardrails, costs and logging handled.
- Document automation Read invoices, forms, contracts and IDs, pull out the right fields and route them for review.
- AI Product Development AI agents, knowledge assistants, copilots and document automation built into the way your team already works.
- Cross-platform apps One codebase for iOS and Android with React Native or Flutter, so both apps ship together.
Solutions
View all solutions- AI document processing Read forms, applications, IDs and statements, extract the fields you need and route each document for the right review.
- Contract review assistant Highlight unusual clauses, missing terms and deviations from your standard positions, so reviewers focus where it matters.
- Meeting notes automation Transcribe meetings and calls, summarize decisions and push action items into your CRM or project tool.
- AI sales research agent Short, sourced briefings on each prospect before a call, drafted by an AI agent from public information and your CRM.
- Forecasting dashboards Forecast demand from your sales history and seasonality, and flag items to reorder before they run out.
- AI translation workflows Translate websites, products and support content quickly with AI, a shared glossary and native-speaker review where it matters.
Industries
View all industries- Insurance Claims intake, document and photo processing, policy knowledge assistants and customer portals for brokers and insurers.
- Manufacturing Quality inspection, production dashboards, quoting tools, knowledge assistants and legacy system modernization for manufacturers.
- Legal Contract review assistants, knowledge search, intake and document automation for law firms and in-house legal teams.
- Construction and facilities Job tracking, maintenance requests, inspections, quotes and proof-of-work photos for builders and facility teams.
- Real estate Listing sites, lead handling, CRM automation and document workflows for agencies, brokers and developers.
- Finance and accounting Client portals, document collection, invoice and receipt processing, and reporting for accounting firms and finance teams.
Case studies
View all case studiesGuides and articles
View all guides and articlesGlossary terms
View all glossary terms- Multimodal model A multimodal model is an AI model that can take in more than one kind of input, such as text with images, audio or video.
- Context window A context window is the maximum amount of text, measured in tokens, that an AI model can consider at once, including the question, documents and its answer.
- Large language model A large language model, or LLM, is an AI model trained on vast amounts of text that can understand and generate language, and often images and code.
- Token A token is a small piece of text, often part of a word, that AI models read and write, and that providers use to measure limits and pricing.
- Artificial intelligence Artificial intelligence is the broad field of building software that performs tasks that normally need human judgment, such as understanding language or images.
- Function calling Function calling is a model feature that lets an AI model request a specific function, with structured inputs, for the application to run.
FAQ
Questions people ask us
Have a question that is not here? Ask us directly.
At review time it was offered as a preview. Check the Gemini models page for the current status.
Yes. It accepts text, images, video, audio and PDFs as input.
Google lists Gemini 2.5 models as legacy with limited access. New projects should use current models.