Gemini 3.8 Flash vs GPT-6 Astra Comparación

// Gemini 3.8 Flash - tarea de codificación con agente vía el SDK google-genai (Python)
from google import genai

# GEMINI_API_KEY se lee del entorno por defecto
client = genai.Client()

interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input=(
        "You are an autonomous coding agent. Run the test suite, "
        "fix the first failing test, and report a one-line summary."
    ),
    generation_config={
        # permitido: low | medium | high (minimal se rechaza)
        "thinking_level": "high"
    },
)

print(interaction.output_text)

# Variante de streaming para bucles de agente de largo horizonte
stream = client.interactions.create(
    model="gemini-3.8-flash",
    input="Refactor the auth module and validate with the linter.",
    stream=True,
)
for event in stream:
    print(event)

// GPT-6 Astra - tarea de razonamiento de alto esfuerzo vía el SDK de OpenAI (Python)
import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])

response = client.responses.create(
    model="gpt-6-astra",
    input=(
        "You are an autonomous coding agent working on a large refactor. "
        "Plan the steps, execute them, verify the result independently, "
        "and only report done once verification passes."
    ),
    reasoning={"effort": "high"},  # permitido: low | medium | high | xhigh | max
    max_output_tokens=4096,
)

print(response.output_text)

# Equivalente en Codex CLI (config.toml): selecciona el modelo explícitamente ya que
# la CLI ahora muestra avisos de migración para modelos anteriores
# [profile.default]
# model = "gpt-6-astra"
# model_reasoning_effort = "high"