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AI / Claude Models Basics Interview Questions

What is the Messages Batches API and when should you use it?

The Message Batches API allows you to submit a large number of Claude API requests asynchronously in a single batch, receiving results once all requests are processed. It is designed for large-scale, non-time-sensitive workloads.

Messages Batches API vs standard API
FeatureStandard Messages APIMessage Batches API
ExecutionSynchronous — response returned immediatelyAsynchronous — submit batch, poll for results
PricingStandard per-token pricing~50% of standard pricing
Max output tokensStandard limitsUp to 300k with output-300k beta header (selected models)
LatencyReal-time (<1 min typical)Hours — not suitable for real-time apps
Max requests per batchN/A10,000 requests per batch
Use caseInteractive apps, chatbots, real-time toolsData processing, evals, bulk content generation
# Submitting a batch of requests
batch = client.messages.batches.create(
    requests=[
        {
            "custom_id": "request-1",
            "params": {
                "model": "claude-opus-4-8",
                "max_tokens": 1024,
                "messages": [{"role": "user", "content": "Summarise: ..."}]
            }
        },
        # ... up to 10,000 requests
    ]
)

# Poll for results
results = client.messages.batches.results(batch.id)

Models supported for 300k batch output: Claude Opus 4.8, Opus 4.7, Opus 4.6, Sonnet 5, and Sonnet 4.6 support up to 300k output tokens per request in a batch when the output-300k-2026-03-24 beta header is included.

What is the approximate cost saving when using the Message Batches API compared to the standard Messages API?
What is the maximum number of requests that can be submitted in a single Message Batches API call?

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