Prices → Compare → GPT-5.6 Terra vs Claude Haiku 4.5
GPT-5.6 Terra vs Claude Haiku 4.5: API cost compared
GPT-5.6 Terra lists at $1.000 in / $6.000 out per 1M tokens. Claude Haiku 4.5 lists at $1.000 in / $5.000. 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 Haiku 4.5 | |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Input per 1M | $1.000 | $1.000 |
| Output per 1M | $6.000 | $5.000 |
| Cached input per 1M | $0.100 | $0.100 |
| Context window | 400k | 200k |
| Blended per 1M (3:1) | $2.250 | $2.000 |
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 Haiku 4.5 | Cheaper | Difference |
|---|---|---|---|---|
| Customer support chatbot | $146.40 | $128.90 | Claude Haiku 4.5 | $17.50 (12%) |
| RAG document Q&A | $196.00 | $184.00 | Claude Haiku 4.5 | $12.00 (6%) |
| Coding agent | $104.50 | $92.50 | Claude Haiku 4.5 | $12.00 (11%) |
| Bulk summarization | $1,386 | $1,346 | Claude Haiku 4.5 | $40.00 (3%) |
| Structured data extraction | $1,870 | $1,745 | Claude Haiku 4.5 | $125.00 (7%) |
| Long-form content generation | $254.60 | $214.60 | Claude Haiku 4.5 | $40.00 (16%) |
| Email triage agent | $432.50 | $402.50 | Claude Haiku 4.5 | $30.00 (7%) |
| Translation pipeline | $1,645 | $1,405 | Claude Haiku 4.5 | $240.00 (15%) |
How to read this
Claude Haiku 4.5 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 Haiku 4.5. 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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