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PricesCompare → GPT-5.6 Terra vs Claude Sonnet 5

GPT-5.6 Terra vs Claude Sonnet 5: API cost compared

GPT-5.6 Terra lists at $1.000 in / $6.000 out per 1M tokens. Claude Sonnet 5 lists at $2.000 in / $10.00. 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-5.6 Terra
wins 8 of 8
Blended rate gap
1.8x
at 3:1 in:out

Side by side

GPT-5.6 TerraClaude Sonnet 5
ProviderOpenAIAnthropic
Input per 1M$1.000$2.000
Output per 1M$6.000$10.00
Cached input per 1M$0.100$0.200
Context window400k200k
Blended per 1M (3:1)$2.250$4.000

Monthly cost by workload

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

WorkloadGPT-5.6 TerraClaude Sonnet 5CheaperDifference
Customer support chatbot$146.40$257.80GPT-5.6 Terra$111.40 (43%)
RAG document Q&A$196.00$368.00GPT-5.6 Terra$172.00 (47%)
Coding agent$104.50$185.00GPT-5.6 Terra$80.50 (44%)
Bulk summarization$1,386$2,692GPT-5.6 Terra$1,306 (49%)
Structured data extraction$1,870$3,490GPT-5.6 Terra$1,620 (46%)
Long-form content generation$254.60$429.20GPT-5.6 Terra$174.60 (41%)
Email triage agent$432.50$805.00GPT-5.6 Terra$372.50 (46%)
Translation pipeline$1,645$2,810GPT-5.6 Terra$1,165 (41%)
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How to read this

GPT-5.6 Terra 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 Terra and 5.0 for Claude Sonnet 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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