Gemini 3.5 Flash

Mid

Google GeminiChatgemini-3.5-flash

Fast thinking-capable Gemini. Great for long-context, high-throughput multimodal pipelines.

Capabilities

Tool callingVisionJSON mode

Recommended for

fast multimodal chat
high-throughput pipelines
thinking on a budget

Using this model through Conduix

Call it by its id, or let a routing alias pick it as part of a governed, cross-provider chain with automatic failover.

Direct model idgemini-3.5-flash

Reached by these routing aliases:

frontier-fastfallback #2 · Claude Sonnet 5 → GPT-5.4 → Gemini 3.5 Flash → Grok 4.3
reasoning-fastprimary pick · Gemini 3.5 Flash → Grok 4.3 → GPT-5.4
vision-fastprimary pick · Gemini 3.5 Flash → GPT-5.4 mini → Gemma 4 31B (Together)
document-aifallback #1 · Gemini 3.1 Pro → Gemini 3.5 Flash → Claude Sonnet 5

Routing relationships are operational — chains adapt to provider availability and your org's policy — not a contractual guarantee that a specific model serves a given request.

Get started

Conduix is OpenAI-API-compatible — point any OpenAI SDK at https://api.conduix.ai/v1 and pass gemini-3.5-flash as the model.

from conduix import Conduix

client = Conduix(api_key="cx_live_YOUR_KEY")  # base URL is built in

response = client.chat.completions.create(
    model="gemini-3.5-flash",
    messages=[{"role": "user", "content": "Hello, Conduix!"}],
)
print(response.choices[0].message.content)

Tool calling: Pass a tools array and the model calls your functions.
Vision: Accepts image inputs — add image_url parts to a message.
JSON mode: Set response_format for guaranteed-valid JSON output.

The response's x-conduix-model-served header tells you exactly which model answered. See the quickstart for keys, headers, and usage.