Gemini 3.8 Flash

Gemini 3.8 Flash is the third Flash release in six weeks and Google’s most capable so far. On the DeepSWE coding test it scored 73.7%, just under Claude Opus 5 and ahead of GPT-5.6 Sol, and Google reports wins over Opus 5 on finance and legal agent tests. It reads the same mix as Gemini Pro — text, images, audio, video and PDFs — in a million-token window.

Once it starts, it is fast: about 300 tokens a second in independent tests. Starting is the slow part — about 13 seconds to the first token, against a median of 3 — and it is wordy, so tasks can cost more than its rates suggest.

For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost $6.90 — a long prompt and a page of answer each. Every rate is published and stays the same from one request to the next. See every model.

Use the OpenAI SDK you already have — point it at Roar AI and name the model. Read the docs.

from openai import OpenAI

client = OpenAI(base_url="https://api.roar-ai.com/v1", api_key="roar_live_…")

reply = client.chat.completions.create(
    model="gemini-3.8-flash",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)