AI Model Profile
Gemini 3.5 Flash
Gemini 3.5 Flash is a Google Gemini API model listed as stable and positioned for sustained frontier performance on agentic and coding tasks.
Verification & Sources
- Status
- Verified
- Source links
- 2
- Freshness
- Verified June 18, 2026
- Last verified
- June 18, 2026
- Last updated
- June 17, 2026
Key source checks
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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 Gemini API teams evaluating coding, agentic, and multimodal workflows.
Skip if
Skip if your team needs independently benchmarked performance claims or contractual guarantees not present in the official provider documentation.
Strengths
Official Google docs list Gemini 3.5 Flash as stable and aimed at agentic and coding tasks.
Weaknesses
This profile does not include independent benchmark results or a full context/pricing table.
Agent suitability
Candidate for agentic tasks according to official Gemini model docs.
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.
Full Model Notes
Gemini 3.5 Flash is a Google Gemini API model listed as stable and positioned for sustained frontier performance on agentic and coding tasks.
Coding notes
Official docs position it for coding tasks in the Gemini 3 family.
Reasoning notes
Evaluate reasoning quality with task-specific tests and current Gemini docs.
Creative notes
Candidate for multimodal workflows in the Gemini API stack.
Research notes
Use official Gemini model and pricing docs before selecting for research workflows.
API pricing notes
Gemini pricing docs listed standard paid Gemini 3.5 Flash text input and output rates as of 2026-06-18; re-check before 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.

