Side-by-side technical and economic comparison between Anthropic's Claude Haiku 4.5 and OpenAI's OpenAI o3.
| Metric | Claude Haiku 4.5 | OpenAI o3 | Advantage |
|---|---|---|---|
| Provider Organization | Anthropic | OpenAI | — |
| Standard Input / 1M | $1.00 | $2.00 | Claude Haiku 4.5 (50% lower) |
| Cached Input / 1M | $0.10 | $0.50 | Claude Haiku 4.5 lower |
| Output / 1M | $5.00 | $8.00 | Claude Haiku 4.5 lower |
| Context Window | 200k | 200k | Equal |
| Max Generation Tokens | 8.2k | 100k | OpenAI o3 |
| Tokenizer Family | Anthropic Claude BPE (~65k vocabulary) | OpenAI o200k_base (200k vocabulary) | — |
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 OpenAI o3 when looking for OpenAI's tooling integration, specific context window depth (200k tokens), or when output generation volume favors its $8/M rate.