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PricesCompare → GPT-5.6 Sol vs GPT-5.3 Codex

GPT-5.6 Sol vs GPT-5.3 Codex: API cost compared

GPT-5.6 Sol lists at $2.500 in / $15.00 out per 1M tokens. GPT-5.3 Codex lists at $1.750 in / $14.00. Sticker price only tells you so much — below is what each actually costs across eight production workloads.

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Cheaper on more workloads
GPT-5.3 Codex
wins 8 of 8
Blended rate gap
1.2x
at 3:1 in:out

Side by side

GPT-5.6 SolGPT-5.3 Codex
ProviderOpenAIOpenAI
Input per 1M$2.500$1.750
Output per 1M$15.00$14.00
Cached input per 1M$0.250$0.175
Context window400k400k
Blended per 1M (3:1)$5.625$4.812

Monthly cost by workload

Caching applied at each workload's typical hit rate. This is where the two models actually separate.

WorkloadGPT-5.6 SolGPT-5.3 CodexCheaperDifference
Customer support chatbot$366.00$317.45GPT-5.3 Codex$48.55 (13%)
RAG document Q&A$490.00$385.00GPT-5.3 Codex$105.00 (21%)
Coding agent$261.25$224.88GPT-5.3 Codex$36.37 (14%)
Bulk summarization$3,465$2,566GPT-5.3 Codex$899.50 (26%)
Structured data extraction$4,675$3,710GPT-5.3 Codex$965.00 (21%)
Long-form content generation$636.50$585.55GPT-5.3 Codex$50.95 (8%)
Email triage agent$1,081$861.87GPT-5.3 Codex$219.38 (20%)
Translation pipeline$4,112$3,718GPT-5.3 Codex$393.56 (10%)
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How to read this

GPT-5.3 Codex is cheaper on the majority of these workloads, but "majority" is not the decision. The output:input price ratio is 6.0 for GPT-5.6 Sol and 8.0 for GPT-5.3 Codex. If your traffic is output-heavy — long-form drafting, translation — the model with the lower output price wins regardless of what the input price suggests. If you are input-heavy — RAG, bulk summarization, agents re-reading a codebase — the cached input rate matters more than either headline number.

Cost is also not the only axis. This site does not benchmark quality, latency, or rate limits, and a model that is 3x cheaper but needs two attempts per task is not cheaper. Use these numbers to size a bill, then validate on your own evals.

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