Claude Haiku 4.5 vs GPT-5.6 Luna — Side-by-side pricing
Side-by-side API pricing and tokenizer details for Claude Haiku 4.5 (Anthropic) and GPT-5.6 Luna (OpenAI).
Side-by-side pricing
| Feature | Claude Haiku 4.5 | GPT-5.6 Luna |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input (per 1M tokens) | $1.00 | $1.00 |
| Output (per 1M tokens) | $5.00 | $6.00 |
| Long-context pricing | Flat rate at any prompt size | Over 272K tokens: $2.00 in / $9.00 out |
| Context caching | Yes — 90% off cached tokens | Yes — 90% off cached tokens |
| Batch API discount | 50% off | 50% off |
| Context window | 200K tokens | 1.1M tokens |
| Tokenizer | Anthropic tokenizer | o200k_base (tiktoken) |
Real-world cost example
1,000 API requests per month, each with 500 input tokens and 200 output tokens (500K input + 200K output total).
Claude Haiku 4.5
$1.5000
Input: $0.5000 +Output: $1.0000
GPT-5.6 Luna
$1.7000
Input: $0.5000 +Output: $1.2000
Claude Haiku 4.5 is 12% cheaper for this workload — saving $0.2000 per month at this volume.
Frequently asked questions
Yes, Claude Haiku 4.5 is cheaper for the typical workload above. At $1.00/1M input and $5.00/1M output tokens, it costs $1.5000 versus $1.7000 for GPT-5.6 Luna — a 12% difference. Note that GPT-5.6 Luna switches to long-context pricing above 272K prompt tokens, so for very long prompts this gap does not scale linearly.
Claude Haiku 4.5 supports a 200K token context window. GPT-5.6 Luna supports a 1.1M token context window. A larger context window lets you include more text — documents, conversation history, or code — in a single API call.
Claude Haiku 4.5 supports context caching (90% off repeated tokens). It offers a 50% Batch API discount. GPT-5.6 Luna supports context caching (90% off repeated tokens). It offers a 50% Batch API discount.
No, they use different tokenizers. Claude Haiku 4.5 uses the Anthropic tokenizer, while GPT-5.6 Luna uses o200k_base (tiktoken). Different tokenizers split text differently, so the same prompt will produce different token counts on each model — the effective cost difference may be larger or smaller than the per-token price difference alone suggests.
Claude Haiku 4.5 (Anthropic): $1 input / $5 output per 1M tokens. GPT-5.6 Luna (OpenAI): $1 input / $6 output per 1M tokens. Rates shown before caching or batch discounts.
For an 80% output / 20% input workload — typical for code generation or long-form writing — Claude Haiku 4.5 costs $4.2000 per 1M total tokens and GPT-5.6 Luna costs $5.0000. Claude Haiku 4.5 is 16% cheaper for this pattern. For your exact ratio, paste a real prompt into the calculator above.
Claude Haiku 4.5 has a 200K-token context window — approximately 150K words or ~600 pages of standard text. GPT-5.6 Luna has a 1.1M-token context window — approximately 788K words or ~3K pages. (Estimates assume ~0.75 words per token.)
Calculate costs for your actual prompt
Paste your prompt into the calculator and get exact token counts using each model's real tokenizer — all in your browser.
Open calculator