Claude Fable 5.1 vs Gemini 3.8 Flash Comparison

# Claude Fable 5.1 - Agentic call via Python SDK (High effort by default)
import anthropic

client = anthropic.Anthropic()  # Read from the ANTHROPIC_API_KEY env var

response = client.messages.create(
    model="claude-fable-5-1",
    max_tokens=4096,
    tools=[
        {
            "type": "bash_20250124",
            "name": "bash"
        }
    ],
    messages=[
        {
            "role": "user",
            "content": (
                "Find the flaky failing test in the repo, explain the root "
                "cause at the disassembly level, and prepare a fix PR."
            ),
        }
    ],
)

for block in response.content:
    if block.type == "text":
        print(block.text)
    elif block.type == "tool_use":
        print(f"[tool: {block.name}] input={block.input}")

# To benefit from cache-read, mark the system prompt with cache_control:
# system=[{"type": "text", "text": LONG_CODEBASE_CONTEXT,
#          "cache_control": {"type": "ephemeral"}}]
# → repeated reads are billed at $0.25/M tokens (75% cheaper than Fable 5)

# Gemini 3.8 Flash - Agent call at scale via Python SDK
from google import genai
from google.genai import types

client = genai.Client()  # Read from the GEMINI_API_KEY env var

response = client.models.generate_content(
    model="gemini-3.8-flash",
    contents=(
        "Process the 1000-row CSV, assign a category to each row, "
        "and return the batched result as JSON."
    ),
    config=types.GenerateContentConfig(
        temperature=0.2,
        max_output_tokens=2048,
    ),
)

print(response.text)

# For high-volume/scale jobs, prefer the batch endpoint:
# client.batches.create(model="gemini-3.8-flash", src="gs://bucket/jobs.jsonl")
# Input $0.75/M, output $3.75/M (promotional price valid through Dec 31, 2026;
# pre-announced to rise to $1.50/$7.50 starting Jan 1, 2027)