Lançamento07/2026
Velocidade0 tokens/s
Tempo até o primeiro token0.00s
Preço de entrada$0.75/1M
Preço de saída$3.75/1M
Rankings
Análise
Gemini 3.6 Flash is a strong option when you need robust reasoning combined with fast speed and low cost, but it should be avoided for large-scale coding projects or complex agentic systems. It is best suited for startups, learning, or services requiring minimal API latency.
Pontos fortes
- Outstanding logical reasoning — ranked #5 globally, performing well on analytical problems and step-by-step deduction
- Ultra-fast processing speed (Flash) — ideal for prototyping and low-latency APIs
- Cost-efficient — lightweight model with low token costs relative to comparable capabilities
Pontos fracos
- Coding is not a strong suit — ranked #13, struggles with large codebases and complex refactoring
- Weak agentic capabilities — ranked #37, poorly suited for autonomous tasks and sequential multi-tool coordination
- Average general conversation — ranked #14, trailing models specialized in this area
Casos de uso
Data analysis and complex logical reasoning in scientific and mathematical tasksHigh-speed chatbots and applications requiring low latency and low token costsRapid prototyping, brainstorming, and educational tasks where production-ready code is not required
Guias e vídeos
Access Gemini 3.6 Flash via the Gemini app (gemini.google.com) or Google AI Studio (ai.google.dev) for interactive chat. For app development, use the Gemini API with an API key from Google AI Studio. This model is well-suited for coding, knowledge work, and complex agentic tasks; best practices include leveraging parallel tool use for complex workflows and tuning reasoning effort based on task difficulty.