Side-by-side technical and economic comparison between Anthropic's Claude Haiku 4.5 and OpenAI's GPT-6 Astra.
| Metric | Claude Haiku 4.5 | GPT-6 Astra | Advantage |
|---|---|---|---|
| Provider Organization | Anthropic | OpenAI | — |
| Standard Input / 1M | $1.00 | $10.00 | Claude Haiku 4.5 (90% lower) |
| Cached Input / 1M | $0.10 | $5.00 | Claude Haiku 4.5 lower |
| Output / 1M | $5.00 | $30.00 | Claude Haiku 4.5 lower |
| Context Window | 200k | 256k | GPT-6 Astra (256k) |
| Max Generation Tokens | 8.2k | 32.8k | GPT-6 Astra |
| 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 GPT-6 Astra when looking for OpenAI's tooling integration, specific context window depth (256k tokens), or when output generation volume favors its $30/M rate.