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PricesCompare → GPT-5.3 Codex vs Claude Opus 5

GPT-5.3 Codex vs Claude Opus 5: API cost compared

GPT-5.3 Codex lists at $1.750 in / $14.00 out per 1M tokens. Claude Opus 5 lists at $5.000 in / $25.00. 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
2.1x
at 3:1 in:out

Side by side

GPT-5.3 CodexClaude Opus 5
ProviderOpenAIAnthropic
Input per 1M$1.750$5.000
Output per 1M$14.00$25.00
Cached input per 1M$0.175$0.500
Context window400k200k
Blended per 1M (3:1)$4.812$10.00

Monthly cost by workload

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

WorkloadGPT-5.3 CodexClaude Opus 5CheaperDifference
Customer support chatbot$317.45$644.50GPT-5.3 Codex$327.05 (51%)
RAG document Q&A$385.00$920.00GPT-5.3 Codex$535.00 (58%)
Coding agent$224.88$462.50GPT-5.3 Codex$237.62 (51%)
Bulk summarization$2,566$6,730GPT-5.3 Codex$4,164 (62%)
Structured data extraction$3,710$8,725GPT-5.3 Codex$5,015 (57%)
Long-form content generation$585.55$1,073GPT-5.3 Codex$487.45 (45%)
Email triage agent$861.87$2,012GPT-5.3 Codex$1,151 (57%)
Translation pipeline$3,718$7,024GPT-5.3 Codex$3,305 (47%)
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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 8.0 for GPT-5.3 Codex and 5.0 for Claude Opus 5. 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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Cost calculator

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