Side-by-side technical and economic comparison between Anthropic's Claude Haiku 4.5 and OpenAI's GPT-5.6 Terra.
| Metric | Claude Haiku 4.5 | GPT-5.6 Terra | Advantage |
|---|---|---|---|
| Provider Organization | Anthropic | OpenAI | — |
| Standard Input / 1M | $1.00 | $2.00 | Claude Haiku 4.5 (50% lower) |
| Cached Input / 1M | $0.10 | $0.20 | Claude Haiku 4.5 lower |
| Output / 1M | $5.00 | $12.00 | Claude Haiku 4.5 lower |
| Context Window | 200k | 1.05M | GPT-5.6 Terra (1.05M) |
| Max Generation Tokens | 8.2k | 16.4k | GPT-5.6 Terra |
| Tokenizer Family | Anthropic Claude BPE (~65k vocabulary) | OpenAI o200k_base (200k vocabulary) | — |
| Workload (per month) | Claude Haiku 4.5 | GPT-5.6 Terra |
|---|---|---|
| Chatbot10k requests · 500 in / 200 out | $15.00 | $34.00 |
| RAG app100k requests · 8,000 in / 1,200 out | $1,400.00 | $3,040.00 |
| Coding agent100k requests · 12,000 in / 2,000 out | $2,200.00 | $4,800.00 |
Standard rates, no caching or batch discounts. Model your own numbers below.
Opt for Claude Haiku 4.5 when your engineering requirements prioritize Anthropic's ecosystem, specific tokenizer efficiencies (Calibrated Claude Tokenizer (±3%)), or when your expected prompt-to-completion ratios favor its $1/M input rate.
Opt for GPT-5.6 Terra when looking for OpenAI's tooling integration, specific context window depth (1.05M tokens), or when output generation volume favors its $12/M rate.
At a typical 3:1 input-to-output token mix, Claude Haiku 4.5 is about 56% cheaper than GPT-5.6 Terra. Claude Haiku 4.5 costs $1 per 1M input and $5 per 1M output tokens; GPT-5.6 Terra costs $2 and $12.
GPT-5.6 Terra has the larger context window: 1.05M tokens vs 200k.
Claude Haiku 4.5: yes, cached input costs $0.1/1M. GPT-5.6 Terra: yes, cached input costs $0.2/1M.