Claude Haiku 5.5
| Input$0.10/M | 217 tok | $0.650 |
|---|---|---|
| Cache reads$0.01/M | 0 tok | $0 |
| Output$0.50/M | 402 tok | $6.02 |
| Reasoning$0.50/M | 41 tok | $0.620 |
$7.29 a month $0.243 per 1,000 requests
API cost calculator · prices checked 2026-10-11 · runs measured 2026-10-10 to 2026-10-11
Claude Haiku 5.5 and GPT-6 Luna have the same list price, but their tokenizers split text differently: for the same English text, Haiku counts ×1.60 as many tokens as Luna. Enter your task to see what each would actually bill.
Claude Haiku 5.5 costs 49% more than GPT-6 Luna: $7.29 vs $4.91 a month
The main reason is reply length: Claude Haiku 5.5 writes about 442 characters per reply, GPT-6 Luna about 297, and output costs more ($0.50 per million output tokens against $0.10 for input).
| Input$0.10/M | 217 tok | $0.650 |
|---|---|---|
| Cache reads$0.01/M | 0 tok | $0 |
| Output$0.50/M | 402 tok | $6.02 |
| Reasoning$0.50/M | 41 tok | $0.620 |
$7.29 a month $0.243 per 1,000 requests
| Input$0.10/M | 172 tok | $0.515 |
|---|---|---|
| Cache reads$0.01/M | 0 tok | $0 |
| Output$0.50/M | 215 tok | $3.23 |
| Reasoning$0.50/M | 77 tok | $1.16 |
$4.91 a month $0.164 per 1,000 requests
| Input characters per request | Haiku ÷ Luna |
|---|---|
| 1,000 | ×1.42 |
| 10,000 | ×1.30 |
| 50,000 | ×1.26 |
| 100,000 | ×1.26 |
| 200,000 | ×6.29 |
| 500,000 | ×3.14 |
| 1,000,000 | ×3.14 |
Same prompts, medium effort on both models, costs recomputed from the billed tokens at current list prices. The scenarios above approximate these runs. Why the gaps differ
| Task | Requests | Claude Haiku 5.5 | GPT-6 Luna | Haiku ÷ Luna | Accuracy / blind judging | Median latency | Measured |
|---|---|---|---|---|---|---|---|
| Ticket classification (English and Japanese) | 50 | $0.033 | $0.033 | ×0.98 | 100% / 100% correct | 0.90 s / 1.45 s | 2026-10-11 |
| Invoice extraction (structured output, 6 fields) | 50 | $0.147 | $0.090 | ×1.64 | 100% / 100% correct | 1.72 s / 2.23 s | 2026-10-10 |
| Japanese business email | 25 | $0.237 | $0.159 | ×1.49 | GPT-6 Luna preferred: 22/25, 25/25 | 2.44 s / 3.56 s | 2026-10-10 |
Email judging: Claude Opus 5.5 and GPT-6.1 Sol each compared the two replies blind, in both orders.
| Content | Claude Haiku 5.5 | GPT-6 Luna | Haiku ÷ Luna tokens | 95% interval | Samples |
|---|---|---|---|---|---|
| English | 2.60 | 4.17 | ×1.604 | 1.552–1.683 | 24 |
| Japanese | 1.10 | 1.38 | ×1.261 | 1.235–1.286 | 24 |
| Chinese | 1.00 | 1.39 | ×1.393 | 1.375–1.413 | 24 |
| JavaScript / TypeScript | 2.20 | 3.56 | ×1.616 | 1.559–1.681 | 24 |
| Python | 2.65 | 4.14 | ×1.561 | 1.527–1.592 | 24 |
| JSON | 2.11 | 3.39 | ×1.608 | 1.517–1.690 | 15 |