gemini-3.8-flash — API, Pricing & Context Window | Vivgrid

gemini-3.8-flash is Google's newest fast Gemini model, built for agentic coding loops and multi-step tool use. It keeps the line's 1M-token context window, doubles the max output to 128K tokens, and accepts text, image, video, audio, and PDF inputs.

On Vivgrid, gemini-3.8-flash runs as a globally centralized model reachable through the same OpenAI-compatible endpoint and unified key as every other model in the catalog.

Specifications

Pricing

Pricing in USD per 1M tokens, matching the provider's rates.

Quick start

Call gemini-3.8-flash through Vivgrid's unified, OpenAI-compatible endpoint. Get an API key from the Vivgrid Console.

curl https://api.vivgrid.com/v1/chat/completions \
  -H "Authorization: Bearer $VIVGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.8-flash",
    "messages": [
      { "role": "user", "content": "Say hello in English, Chinese and Spanish." }
    ],
    "stream": true
  }'

Input and output are priced identically to gemini-3.7-flash at $0.75 per 1M input tokens and $3.75 per 1M output tokens. Cached input is $0.15 per 1M — twice gemini-3.7-flash's introductory cached rate — so cache-heavy workloads should compare the two before switching.

Ideal use cases

• Rapid agentic loops with heavy tool calling
• Long-form generation that needs more than a 64K output ceiling
• Long-context understanding up to 1M tokens
• High-volume multimodal reasoning and summarization

Related models

• gemini-3.7-flash — prior flash generation, cheaper cached input
• gemini-3.1-pro-preview — higher-end Gemini for coding
• claude-fable-5-1 — Anthropic's most capable model