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babbage-002 vs Claude Sonnet 4

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

babbage-002 Cost
$0.48
Claude Sonnet 4 Cost
$6.00
babbage-002 is 92% cheaper
Featurebabbage-002Claude Sonnet 4
ProviderOpenAIAnthropic
Input Price (1M)$0.40$3.00
Output Price (1M)$0.40$15.00
Context Window16,384200,000

Verdict

babbage-002 costs $0.40 per 1M input tokens and $0.40 per 1M output tokens. Claude Sonnet 4 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. babbage-002 is 87% cheaper on input tokens than Claude Sonnet 4. For output tokens, babbage-002 is the more affordable option at $0.40/1M vs $15.00.

On context window, Claude Sonnet 4 supports 200,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose babbage-002

  • ✓ You need the lowest input token cost ($ 0.40/1M)
  • ✓ Your workload is output-heavy — babbage-002 generates text cheaper
  • ✓ You are already integrated with OpenAI

When to choose Claude Sonnet 4

  • ✓ You need a larger context window (200,000 tokens)
  • ✓ You are already integrated with Anthropic

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is babbage-002 cheaper than Claude Sonnet 4?

babbage-002 is cheaper on input tokens at $0.40/1M vs $3.00/1M for Claude Sonnet 4 — a 87% saving.

What is the context window of babbage-002 vs Claude Sonnet 4?

babbage-002 has a 16,384-token context window. Claude Sonnet 4 has a 200,000-token context window. Claude Sonnet 4 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: babbage-002 or Claude Sonnet 4?

The best choice depends on your use case. For cost efficiency on input tokens, babbage-002 is the cheaper option. For maximum context length, Claude Sonnet 4 supports 200,000 tokens. Use the comparison table above to find the right fit for your workload.