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Claude Opus 4.7 vs davinci-002

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Claude Opus 4.7 Cost
$10.00
davinci-002 Cost
$2.40
davinci-002 is 76% cheaper
FeatureClaude Opus 4.7davinci-002
ProviderAnthropicOpenAI
Input Price (1M)$5.00$2.00
Output Price (1M)$25.00$2.00
Context Window1,000,00016,384

Verdict

Claude Opus 4.7 costs $5.00 per 1M input tokens and $25.00 per 1M output tokens. davinci-002 costs $2.00 per 1M input tokens and $2.00 per 1M output tokens. davinci-002 is 60% cheaper on input tokens than Claude Opus 4.7. For output tokens, davinci-002 is the more affordable option at $2.00/1M vs $25.00.

On context window, Claude Opus 4.7 supports 1,000,000 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 Claude Opus 4.7

  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Anthropic

When to choose davinci-002

  • ✓ You need the lowest input token cost ($ 2.00/1M)
  • ✓ Your workload is output-heavy — davinci-002 generates text cheaper
  • ✓ You are already integrated with OpenAI

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 Claude Opus 4.7 cheaper than davinci-002?

davinci-002 is cheaper on input tokens at $2.00/1M vs $5.00/1M for Claude Opus 4.7 — a 60% saving.

What is the context window of Claude Opus 4.7 vs davinci-002?

Claude Opus 4.7 has a 1,000,000-token context window. davinci-002 has a 16,384-token context window. Claude Opus 4.7 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Claude Opus 4.7 or davinci-002?

The best choice depends on your use case. For cost efficiency on input tokens, davinci-002 is the cheaper option. For maximum context length, Claude Opus 4.7 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.