AnyAPI page shows AI model producer's logo
Basic
Tier

Google: Gemini 3.8 Flash

Google's most intelligent Flash model for long-horizon coding agents and multi-step enterprise workflows at Flash-tier cost.

Context window: 
1048576
M tokens
Output: 
65536
 tokens
Modality:
Text
Image
Audio
Video
PDF
AnyAPI shows dashboard
Gemini 3.8 Flash: Near-Frontier Agentic Coding at Flash-Tier Cost Gemini 3.8 Flash is Google's latest Flash-tier model, built on Gemini 3.7 Flash within the Gemini 3 family. It sits between the deep-reasoning Pro models and the high-throughput Flash-Lite line, positioned as the primary agentic workhorse. Google describes it as its most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows. Its key characteristic is a design that "works harder"—executing more reasoning steps and iterative tool calls to approach frontier-model coding accuracy while retaining Flash speed and pricing. It fits agentic coding and document-heavy knowledge work best. Start building with the Gemini 3.8 Flash API on AnyAPI.ai

Sample code for 

Google: Gemini 3.8 Flash

Code examples coming soon...

Frequently
Asked
Questions

Answers to common questions about integrating and using this AI model via AnyAPI.ai

Gemini 3.8 Flash is Google's most intelligent Flash-tier model, tuned for long-horizon software engineering, autonomous agents, and complex enterprise knowledge work. It reports strong agentic coding results, including 89.4% on Terminal-Bench 2.1 and 73.7% on DeepSWE v1.1, approaching frontier-model accuracy at Flash-tier speed and cost.

Gemini 3.8 Flash supports a 1,048,576-token (1M) context window and a maximum output of 65,536 tokens. It accepts text, image, audio, and video input but returns text only. These limits are identical to Gemini 3.7 Flash.

Gemini 3.8 Flash is built on 3.7 Flash with the same specs and current introductory pricing, but is tuned to "work harder," delivering higher coding and agentic accuracy at the cost of more tokens and agent turns per task—Google cites roughly 40% higher cost per task. It also removes the MINIMAL thinking level.

Yes. Gemini 3.8 Flash exposes tunable thinking levels—LOW, MEDIUM (default), and HIGH—to trade latency and token cost against depth. Unlike some Flash models, it does not support MINIMAL; setting that value returns an API validation error.

Gemini 3.8 Flash has a knowledge cutoff of March 2026 for some domains, while in other domains its knowledge may be limited to January 2025. For uniformly recent information, pair it with grounding or web-search tools.