AI API Cost Optimization: 5 Ways to Cut Your Bill in Half

AI API Cost Optimization: 5 Ways to Cut Your Bill in Half

💡 What You Will Learn

AI API Cost Optimization: 5 Ways to Cut Your Bill in Half

if task_is_simple:
    model = "gpt-4o-mini"  # 10
else:
    model = "gpt-4o"

cache = {}
def cached_call(question):
    if question in cache:
        return cache[question]
    answer = call_llm(question)
    cache[question] = answer
    return answer

# ❌ 4096token
response = client.chat.completions.create(model="gpt-4o", messages=[...])

# ✅ 
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[...],
    max_tokens=256  # 256token
)

# 
for text in texts:
    summary = call_llm(f"{text}")

# 
all_texts = "\n---\n".join(texts)
summaries = call_llm(f"{all_texts}")

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