Prices → Compare → GPT-5.6 Terra vs Claude Opus 5
GPT-5.6 Terra vs Claude Opus 5: API cost compared
GPT-5.6 Terra lists at $1.000 in / $6.000 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.
Side by side
| GPT-5.6 Terra | Claude Opus 5 | |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Input per 1M | $1.000 | $5.000 |
| Output per 1M | $6.000 | $25.00 |
| Cached input per 1M | $0.100 | $0.500 |
| Context window | 400k | 200k |
| Blended per 1M (3:1) | $2.250 | $10.00 |
Monthly cost by workload
Caching applied at each workload's typical hit rate. This is where the two models actually separate.
| Workload | GPT-5.6 Terra | Claude Opus 5 | Cheaper | Difference |
|---|---|---|---|---|
| Customer support chatbot | $146.40 | $644.50 | GPT-5.6 Terra | $498.10 (77%) |
| RAG document Q&A | $196.00 | $920.00 | GPT-5.6 Terra | $724.00 (79%) |
| Coding agent | $104.50 | $462.50 | GPT-5.6 Terra | $358.00 (77%) |
| Bulk summarization | $1,386 | $6,730 | GPT-5.6 Terra | $5,344 (79%) |
| Structured data extraction | $1,870 | $8,725 | GPT-5.6 Terra | $6,855 (79%) |
| Long-form content generation | $254.60 | $1,073 | GPT-5.6 Terra | $818.40 (76%) |
| Email triage agent | $432.50 | $2,012 | GPT-5.6 Terra | $1,580 (79%) |
| Translation pipeline | $1,645 | $7,024 | GPT-5.6 Terra | $5,379 (77%) |
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 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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| Model | In /1M | Out /1M | Monthly | vs best |
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