Gemini Pro
Model entry for multimodal work, search grounding, and Google ecosystem integration, used for scenario-based recommendations.
Gemini Pro represents an earlier generation of Google’s flagship Pro-tier models, now superseded by Gemini 3.1 Pro (released February 2026). It is retained in ContextHub as a legacy entry for comparison purposes — teams maintaining applications built on the original Gemini Pro API endpoints can reference this entry for compatibility context and migration planning.
The original Gemini Pro introduced multimodal capabilities, function calling, and search grounding to Google’s API model lineup. It supports text, image, and audio inputs with a focus on enterprise-grade reliability and Google ecosystem integration through the Gemini API and Vertex AI.
For new projects, Google recommends using Gemini 3.1 Pro or Gemini 3.5 Flash depending on workload requirements. This legacy entry helps teams identify whether their existing integrations need updates when migrating from Pro to the current generation of Google’s models.
| Provider | |
|---|---|
| Context Window | Verify from official source |
| Pricing | Update from official Google AI pricing. |
| API Style | Google Gemini API |
| SDK | Google Gen AI SDK, custom HTTP client |
| MCP | Can participate in MCP workflows through compatible agent orchestration. |
| Agent | Good fit for multimodal and search-grounded agents. |
| RAG | Useful for retrieval workflows that require multimodal or search-grounded context. |
| Source Freshness | recently_verified |
| Version Status | legacy |
| Version Boundary | Legacy ContextHub entry for Gemini Pro; use newer Gemini-specific slugs when exact current model selection matters. |
Key Facts
- Entity type: model
- Primary use case: multimodal workflow
- API style: Google Gemini API
- Compatibility note: best within Google-aligned stacks
Best For
Not Ideal For
Capability Matrix
| Capability | Status |
|---|---|
| Multimodal | Strong |
| Coding | Good |
| Tool Use | Supported |
| Search Grounding | Ecosystem-dependent |
SEO
| SEO Title | Gemini Pro API, Pricing, SDK, MCP & Agent Compatibility |
|---|---|
| Description | Gemini Pro by Google: Model entry for multimodal work, search grounding, and Google ecosystem integration, used for scenario-based recommendations. |
| Canonical | /model/gemini-pro |
| Updated | 2026-05-17 |
Compare
| Comparison | Compared With |
|---|---|
| Gemini Pro vs DeepSeek-V3.2 | DeepSeek-V3.2 |
| Gemini Pro vs DeepSeek V4 (Pro-Max / Flash-Max) | DeepSeek V4 (Pro-Max / Flash-Max) |
Compatibility Facts
| Layer | Target | Status | Evidence | Updated |
|---|---|---|---|---|
| sdk | google-gen-ai-sdk | verify_required | Gemini Pro includes Google Gemini API documentation and Google Gen AI SDK GitHub sources. | 2026-05-18 |
FAQ
| What is Gemini Pro? | Gemini Pro is listed as a strong option for multimodal and Google ecosystem workflows. Validate current model version and feature availability before deployment. |
|---|---|
| What is Gemini Pro best for? | Gemini Pro is best for multimodal workflow, Google ecosystem, search-grounded answers. |
| How should Gemini Pro be verified before production use? | Check current pricing, availability, limits, and API behavior against the listed official and GitHub sources. This entry was updated on 2026-05-17. |
| How are model version boundaries represented? | Model version boundaries are represented by stable slugs, versionStatus, and versionNote so detail pages and feeds can distinguish current, preview, legacy, or unknown entries. |
| What does sourceFreshness mean in ContextHub? | sourceFreshness is a static freshness marker for model facts, used by detail pages and GEO feeds to show whether sources were recently verified, need review, or are stale. |
Relationship Facts
| Source | Type | Target | Confidence |
|---|---|---|---|
| gemini-pro | best_for | multimodal-workflow | 0.76 |
| gemini-pro | best_for | search-grounded-answers | 0.72 |
Sources
| Name | Type | Citation | Last Verified |
|---|---|---|---|
| Google AI documentation | official | Official Google AI documentation is the primary source for Gemini API concepts and model behavior. | 2026-05-17 |
| Google Gen AI SDK | github | GitHub SDK reference for Gemini and Vertex AI TypeScript or JavaScript integration. | 2026-05-17 |
External Resources
- Google AI documentation — Official Google AI documentation is the primary source for Gemini API concepts and model behavior.
- Google Gen AI SDK — GitHub SDK reference for Gemini and Vertex AI TypeScript or JavaScript integration.