Gemini 3.8 Flash
Google's next-generation workhorse model (released Sep 2, 2026; codenamed "Skimaki").
Empirical Evaluation Results
Architectural Profile & Capabilities
Google's next-generation workhorse model (released Sep 2, 2026; codenamed "Skimaki"). Rapid 3-week iteration following 3.7 Flash, delivering architectural refinements, reduced output verbosity, and drastically lower latency. Preferred by Google engineers internally over Claude Opus on the Jetski coding platform for real-world developer workflows. Matches or exceeds frontier models (Opus 5, GPT-5.6 Sol) across DeepSWE (61.4%), Terminal-Bench 2.1 (90.8%), Vals Finance Agent (61.4%), and HLE-Verified (54.9%) at Flash economics. Configurable thinking levels. Multimodal input (text, image, audio, video, PDF). Specialized cybersecurity patching and vulnerability discovery capabilities. Introductory pricing $0.75/$3.75 through Dec 31, 2026 ($1.50/$7.50 thereafter); 90% cache discount ($0.075/M cached). Best for: agentic coding, automated debugging and patching, complex enterprise workflows, finance/legal analysis, scientific/biomedical research, and high-frequency tool use loops
Sparse Mixture-of-Experts routing: activates only a subset of parameter experts per token, delivering frontier-level intelligence with exceptional efficiency.
Recommended Workloads & Primary Use Cases
Calls to Gemini 3.8 Flash are routed through strict Zero Data Retention inference channels. Prompts and outputs are never stored, indexed, or monitored by Google.
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Gemini 3.1 Flash TTS is a neural speech synthesis model by Google, providing expressive voice rendering for real-time conversation.
Abstract reasoning puzzles, competitive algorithms, agentic tool orchestration, scientific coding, large document analysis (10K+ tokens), technical/academic writing
Legacy large-context analysis