Google: Gemini 3.8 Flash

Name: Gemini 3.8 Flash
Brand: Google
Price: 83.8 RUB
Availability: InStock

google/gemini-3.8-flash

textVisionFilesReasoningVideoAudio

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning. 1M-token context, image, audio, video and PDF input.

Price in / out

Cache, read / write

Context / Max output

1.05M / 66K

Released

Sep 2, 2026

Additional rates

Flex, in / out

Thinking

Web search

Parameters

messagesrequired

reasoning_effortlow · medium · high

max_tokensoptional · alias max_completion_tokens

streamtrue · false

toolsfunction calling (OpenAI format)

tool_choiceauto · none · required

response_formatjson_object · json_schema

web_search · · ·

providerrouting: order · only · ignore · sort

service_tierflex · priority

stream_options{"include_usage": true}

image_urlimage (data: URL)

filePDF · DOCX · TXT · CSV · XLSX · PPTX (data: URL)

Fine-tuning · 4

temperature0–2

stopoptional

seedoptional

top_p0–1

How to use via API

from openai import OpenAI

client = OpenAI(base_url="https://api.mixen.ai/v1", api_key="mxn-...")
resp = client.chat.completions.create(
    model="google/gemini-3.8-flash",
    messages=[{"role": "user", "content": "Привет"}],
    reasoning_effort="low",  # low · medium · high
    temperature=0.7,
    max_tokens=1024,
    stream=False,
)
print(resp.choices[0].message.content)

# Стриминг: stream=True — ответ приходит чанками
for chunk in client.chat.completions.create(
    model="google/gemini-3.8-flash",
    messages=[{"role": "user", "content": "Привет"}],
    stream=True,
):
    print(chunk.choices[0].delta.content or "", end="", flush=True)

# эконом-тир: тот же ответ вдвое дешевле, но ниже приоритет в очереди
cheap = client.chat.completions.create(
    model="google/gemini-3.8-flash",
    messages=[{"role": "user", "content": "Привет"}],
    extra_body={"service_tier": "flex"},
)

# с файлом (PDF · DOCX · TXT · CSV · XLSX · PPTX)
doc = client.chat.completions.create(
    model="google/gemini-3.8-flash",
    messages=[{"role": "user", "content": [
        {"type": "text", "text": "Кратко перескажи документ"},
        {"type": "file", "file": {
            "filename": "doc.pdf",
            "file_data": "data:application/pdf;base64,JVBERi0...",
        }},
    ]}],
)

API docsTry in the bot

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