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davinci-002 vs Grok 4.3

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

davinci-002 Cost
$2.40
Grok 4.3 Cost
$1.75
Grok 4.3 is 27% cheaper
Featuredavinci-002Grok 4.3
ProviderOpenAIxAI
Input Price (1M)$2.00$1.25
Output Price (1M)$2.00$2.50
Context Window16,3841,000,000

Verdict

davinci-002 costs $2.00 per 1M input tokens and $2.00 per 1M output tokens. Grok 4.3 costs $1.25 per 1M input tokens and $2.50 per 1M output tokens. Grok 4.3 is 38% cheaper on input tokens than davinci-002. For output tokens, davinci-002 is the more affordable option at $2.00/1M vs $2.50.

On context window, Grok 4.3 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 davinci-002

  • ✓ Your workload is output-heavy — davinci-002 generates text cheaper
  • ✓ You are already integrated with OpenAI

When to choose Grok 4.3

  • ✓ You need the lowest input token cost ($ 1.25/1M)
  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with xAI

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 davinci-002 cheaper than Grok 4.3?

Grok 4.3 is cheaper on input tokens at $1.25/1M vs $2.00/1M for davinci-002 — a 38% saving.

What is the context window of davinci-002 vs Grok 4.3?

davinci-002 has a 16,384-token context window. Grok 4.3 has a 1,000,000-token context window. Grok 4.3 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: davinci-002 or Grok 4.3?

The best choice depends on your use case. For cost efficiency on input tokens, Grok 4.3 is the cheaper option. For maximum context length, Grok 4.3 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.