Gemini 3.8 Flash

Gemini 3.8 Flash is Google’s most intelligent Flash model, built for long-horizon software engineering, autonomous agents, and complex enterprise workflows. Call gemini-3.8-flash through MixRoute’s native Gemini endpoint; an OpenAI-compatible endpoint is also supported.

Key capabilities

Native multimodality - Accepts text, image, video, audio, and PDF input and returns text
Long context - Supports up to 1,048,576 input tokens and 65,536 output tokens
Tunable reasoning - Supports low, medium, and high thinking levels
Agent tools - Supports function calling, structured output, code execution, Search grounding, and preview computer use
Dual API support - Works through native Gemini generateContent and OpenAI-compatible Chat Completions

Quick example

Gemini native API

cURL
Python

curl "https://api.mixroute.ai/v1/models/gemini-3.8-flash:generateContent" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "Explain quantum entanglement in simple terms."
        }
      ]
    }
  ],
  "generationConfig": {
    "maxOutputTokens": 256
  }
}'

import requests

response = requests.post(
    "https://api.mixroute.ai/v1/models/gemini-3.8-flash:generateContent",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={'contents': [{'role': 'user',
                        'parts': [{'text': 'Explain quantum entanglement in simple terms.'}]}],
          'generationConfig': {'maxOutputTokens': 256}},
)

print(response.json())

OpenAI-compatible API

cURL
Python
Streaming

curl "https://api.mixroute.ai/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gemini-3.8-flash",
  "messages": [
    {
      "role": "user",
      "content": "Explain quantum entanglement in simple terms."
    }
  ],
  "max_tokens": 256
}'

from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY", base_url="https://api.mixroute.ai/v1")

response = client.chat.completions.create(
    model="gemini-3.8-flash",
    messages=[{"role": "user", "content": "Explain quantum entanglement in simple terms."}],
    max_tokens=256,
)

print(response.choices[0].message.content)

from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY", base_url="https://api.mixroute.ai/v1")

stream = client.chat.completions.create(
    model="gemini-3.8-flash",
    messages=[{"role": "user", "content": "Write a short poem about the sea."}],
    max_tokens=256,
    stream=True,
)

for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="")

Parameters

Gemini native API

Parameter	Type	Required	Description
`contents`	array	Yes	Conversation content built from role and parts.
`systemInstruction`	object	No	System instruction with content parts.
`generationConfig`	object	No	Output and response-generation settings supported by the model.
`safetySettings`	array	No	Content-safety settings.

OpenAI-compatible API

Parameter	Type	Required	Description
`model`	string	Yes	Must be `gemini-3.8-flash`.
`messages`	array	Yes	Conversation messages with role and content.
`max_tokens`	integer	No	Maximum generated tokens.
`stream`	boolean	No	Enable SSE streaming. Default: false.
`stop`	string \| array	No	Sequences that stop generation.
`tools`	array	No	OpenAI-compatible tool definitions.

Vendor reference

Gemini 3.8 Flash documentation

Home

Model Introduction

Key capabilities

Quick example

Gemini native API

OpenAI-compatible API

Parameters

Gemini native API

OpenAI-compatible API

Vendor reference

​Key capabilities

​Quick example

​Gemini native API

​OpenAI-compatible API

​Parameters

​Gemini native API

​OpenAI-compatible API

​Vendor reference

Key capabilities

Quick example

Gemini native API

OpenAI-compatible API

Parameters

Gemini native API

OpenAI-compatible API

Vendor reference