AI Model Profile
Gemini 3.1 Pro
Gemini 3.1 Pro is a Google Gemini API preview model described for advanced intelligence, complex problem-solving, and agentic or vibe-coding capabilities.
Before you buy
Buying details reviewed 2026-10-23. Price, included amounts and access are dated observations; check the official source for current terms. This date does not review the whole fact ledger or renew historical demonstrations.
Best for: Candidate for teams testing advanced Gemini reasoning, coding, and agent workflows while accepting preview status.
Price: USD API: US$2.00 input / US$12.00 output per 1M tokens
Included: Gemini 3.1 Pro is a Google Gemini API preview model described for advanced intelligence, complex problem-solving, and agentic or vibe-coding capabilities.
Main limits: Preview ID gemini-3.1-pro-preview; prompts above 200K use US$4 input and US$18 output. Thinking output is billable where supported; grounding, caching and other tiers are separate.
What Kingy showed: Related coverage: Local AI Models: The Definitive Guide to Planning, Hardware, Setup, Installation, Model Selection, Testing, and Real-World Use. This review does not treat that article as a new test of this exact model, plan or current release.
Check official plans · See the demonstration and disclosure · Compare these workflows
- Family
- Gemini 3
- Release date
- Unknown
- Status
- Preview
- Context window
- Unknown
- Output limit
- Unknown
- API
- yes
- Open weights
- no
- Local/self-hosted
- no
- Pricing
- Gemini API pricing and preview availability can change; verify official Gemini pricing and model docs before budgeting.
- Evidence state
- Recheck due
Benchmark Caveat
Provider documentation and provider-published capability notes are directional, not universal rankings. Real results depend on prompts, tools, latency targets, pricing tier, safety filters, context length, and workload mix.
Best for
Candidate for teams testing advanced Gemini reasoning, coding, and agent workflows while accepting preview status.
Skip if
Skip if your team needs independently benchmarked performance claims or contractual guarantees not present in the official provider documentation.
Strengths
Official Gemini docs position it for advanced intelligence and complex problem solving.
Weaknesses
Preview status means availability, pricing, and behavior can change; this profile should be rechecked frequently.
Agent suitability
Candidate for agentic workflows based on official Gemini positioning.
Kingy AI take
Use this profile as a source-backed reference point, not a ranking. Re-check official provider docs before making production or budget decisions.
Kingy AI Product Facts
Gemini 3.1 Pro
Current statusUnknown
- Company
- Not yet reviewed
- Primary job
- Not yet reviewed
- Audience
- Not yet reviewed
- Evidence
- Source-backed; coverage expanding
- Latest source check
- October 23, 2026
See all tracked product factsPricing, platforms, dependencies, data claims, regions, and timeline
Sources and checks
- Coverage
- 1 of 88 tracked fields currently verified
- Sources
- 1
Source-check dates apply to the tracked facts. Editorial updates elsewhere on this page may have a different date.
Plans and pricing units
Not yet structured in this Kingy record.
Where it runs
- Availability
- Not yet reviewed
Stack and integrations
- Model / provider dependencies
- Not yet reviewed
- Integrations
- Not yet reviewed
Data and regions
- Vendor data-use claim
- Not yet reviewed
- Vendor retention claim
- Not yet reviewed
- Regions
- Not yet reviewed
Launch and latest material update
- Launch
- Not yet reviewed
- Latest material update
- Not yet reviewed
Full Model Notes
Who should consider it
Candidate for teams testing advanced Gemini reasoning, coding, and agent workflows while accepting preview status. Gemini 3.1 Pro is a Google Gemini API preview model described for advanced intelligence, complex problem-solving, and agentic or vibe-coding capabilities.
Plan, price and billing scope
USD API: US$2.00 input / US$12.00 output per 1M tokens. Gemini 3.1 Pro is a Google Gemini API preview model described for advanced intelligence, complex problem-solving, and agentic or vibe-coding capabilities. Prices use the currency and billing term stated here. Where a numeric rate, region or current entitlement could not be verified, it remains explicit; no checkout was completed.
Limits that affect the decision
Preview ID gemini-3.1-pro-preview; prompts above 200K use US$4 input and US$18 output. Thinking output is billable where supported; grounding, caching and other tiers are separate.
What the existing evidence shows
Related coverage: Local AI Models: The Definitive Guide to Planning, Hardware, Setup, Installation, Model Selection, Testing, and Real-World Use. This review does not treat that article as a new test of this exact model, plan or current release. Related workflow reading; not a demonstration of this exact product. Read the related article.
Sources and buying-review date
Buying review completed October 23, 2026. This is a source-based buying assessment. No paid product test, new generation, checkout or performance benchmark was performed. Vendor descriptions and historical examples remain distinct from independently measured results. The date does not renew the broader canonical fact ledger.
Check the official offer · Compare related options
Earlier profile, sources and dates
This older record retains its original scope. Current buying qualifications above take precedence where terms have changed.
Gemini 3.1 Pro is a Google Gemini API preview model described for advanced intelligence, complex problem-solving, and agentic or vibe-coding capabilities.
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Coding notes
Official docs mention vibe-coding capabilities.
Reasoning notes
Candidate for complex problem solving according to Google docs.
Creative notes
Candidate for multimodal tasks in the Gemini API stack.
Research notes
Preview models should be validated on current docs and controlled tests before production use.
License notes
Review the official provider terms and model documentation before relying on license or redistribution assumptions.
Official Model Links
Model Intelligence Research Map
Use these internal paths to move from this model profile into provider pages, static comparison pages, related Kingy records, and the broader AI launch graph. These are research paths, not rankings.