Gemini 3.8 Flash
A cost-effective, intelligent AI model for long-horizon software engineering, autonomous agents, and complex enterprise workflows.
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Excels at complex coding benchmarks, multi-file refactoring, and deterministic tool execution, delivering strong results on real-world software development tasks. [9, 21]
Enables the creation of resilient multi-step planning and tool orchestration workflows, significantly reducing failed loops and errors in agentic applications. [9, 17]
Accepts and processes various input types including text, images, video, audio, and PDF files, allowing for comprehensive analysis across different data formats. [3, 10]
Intelligently navigates video timelines, deciding which transcripts, frames, and audio to inspect to answer questions, leading to more efficient and higher-quality video analysis. [10]
Offers flexible control over latency and intelligence by adjusting the model's reasoning effort (low, medium, high), allowing optimization for speed or accuracy based on task requirements. [9, 14, 18]
Supports a large context window of 1,048,576 tokens, enabling the analysis and processing of extensive documents and complex information. [3, 9, 10]
Includes built-in support for code execution and function calling, enhancing its utility for developers in building and integrating AI-powered applications. [17]
Supports search grounding and URL context, allowing the model to retrieve and integrate information from external sources for more accurate and relevant responses. [17]
Detailed Pricing Info
- Highly cost-effective with introductory pricing, significantly undercutting rivals like Claude Opus 5 and GPT-5.6 Sol. [1, 2, 4, 7, 21, 22]
- Demonstrates strong performance in coding and agentic tasks, with benchmarks approaching or exceeding those of larger, more expensive flagship models. [2, 3, 9, 14, 15, 21]
- Unique agentic video understanding capability allows for intelligent and efficient analysis of video content, a feature not present in some competing models. [10]
- Adjustable reasoning effort provides flexibility to optimize for either speed (low effort) or maximum accuracy (high effort) depending on the task's demands. [4, 9, 14]
- Fast execution speed makes it suitable for prototyping, feature validation, small projects, and high-frequency model calling. [21]
- The attractive introductory pricing is temporary and will double on January 1, 2027, potentially impacting long-term cost-effectiveness. [2, 4, 7, 22]
- Despite lower unit costs, its tendency to be verbose and perform more reasoning steps can lead to higher token consumption for complex tasks, increasing overall cost. [7, 21, 22]
- Some users report issues with slowness, getting stuck, or lower code quality for certain tasks, and a tendency to hallucinate more than Pro versions. [11]
- Performance improvements are not uniform across all benchmarks; some areas like 'Humanity's Last Exam' show minimal or no gains compared to previous Flash versions. [2, 9]
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