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o1-pro vs GPT-5.6 Sol

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

o1-pro Cost
$270.00
GPT-5.6 Sol Cost
$8.00
GPT-5.6 Sol is 97% cheaper
Featureo1-proGPT-5.6 Sol
ProviderOpenAIOpenAI
Input Price (1M)$150.00$4.00
Output Price (1M)$600.00$20.00
Context Window200,0001,000,000

Verdict

o1-pro costs $150.00 per 1M input tokens and $600.00 per 1M output tokens. GPT-5.6 Sol costs $4.00 per 1M input tokens and $20.00 per 1M output tokens. GPT-5.6 Sol is 97% cheaper on input tokens than o1-pro. For output tokens, GPT-5.6 Sol is the more affordable option at $20.00/1M vs $600.00.

On context window, GPT-5.6 Sol 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 o1-pro

  • ✓ You are already integrated with OpenAI

When to choose GPT-5.6 Sol

  • ✓ You need the lowest input token cost ($ 4.00/1M)
  • ✓ Your workload is output-heavy — GPT-5.6 Sol generates text cheaper
  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ 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 o1-pro cheaper than GPT-5.6 Sol?

GPT-5.6 Sol is cheaper on input tokens at $4.00/1M vs $150.00/1M for o1-pro — a 97% saving.

What is the context window of o1-pro vs GPT-5.6 Sol?

o1-pro has a 200,000-token context window. GPT-5.6 Sol has a 1,000,000-token context window. GPT-5.6 Sol supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: o1-pro or GPT-5.6 Sol?

The best choice depends on your use case. For cost efficiency on input tokens, GPT-5.6 Sol is the cheaper option. For maximum context length, GPT-5.6 Sol supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.