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gemini-3.1-pro-preview vs gemini-3.6-flash

gemini-3.1-pro-previewgemini-3.6-flash
ProvidersGoogleGoogle
Input $/M$2.00$1.50
Output $/M$12.00$7.50
Output multiplier×6.00×5.00
Context window
Intelligence index36.740.3
Coding index68.869.2

What the numbers mean

Input pricing is close — 1.33× apart — so the decision should come down to measured quality on your own evaluation set rather than headline cost.

Measured intelligence index differs by only 3.6 points, which in practice means the two models are interchangeable on most tasks — pick on price and latency.

Tags: gemini-3.1-pro-preview — Chat, Reasoning, Coding, Vision · gemini-3.6-flash — Chat, Reasoning, Coding, Vision

Code

from openai import OpenAI
client = OpenAI(base_url="https://starseaapi.com/v1", api_key="sk-...")

# gemini-3.1-pro-preview
client.chat.completions.create(model="gemini-3.1-pro-preview", messages=[{"role":"user","content":"Hi"}])

# gemini-3.6-flash
client.chat.completions.create(model="gemini-3.6-flash", messages=[{"role": "user", "content": "Hi"}])

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