For classification and extraction
Use the same labeled sample for both models. Count a task as accepted only after your validation rules pass. A valid JSON response alone does not establish that the extracted facts are right.
MODEL COMPARISON · STANDARD API PRICING
Claude Haiku 5.5 vs GPT-6 Luna
Haiku 5.5 vs Luna 6 starts with the same short-input token prices. Your actual bill depends on input length, output usage, caching, and the work needed to reach an accepted result.
Official model IDs: claude-haiku-5-5 · gpt-6-luna
Haiku 5.5 vs Luna 6: calculate your workload
Use separate token counts for each model. Short, medium, and long request examples help explain how the pricing thresholds affect your estimate.
USD · Standard text APIPrices checked: 2026-10-12 ↗
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Illustrative inputs, not industry averages. A preset replaces request rows only.
Request class 01
No caching included in this estimate.
Custom rates
Your estimate
Official Standard pricesClaude Haiku 5.5
Estimated monthly cost
$13.50
30,000 requests / month
- Per request
- $0.000450
- Per day
- $0.45
- Per 1,000 requests
- $0.45
Monthly cost breakdown
- Uncached input tokens
- $6.00
- Cache-read tokens
- $0.00
- Cache-write tokens
- $0.00
- Billed output tokens
- $7.50
- Extra cost / request (USD)
- $0.00
GPT-6 Luna
Estimated monthly cost
$13.50
30,000 requests / month
- Per request
- $0.000450
- Per day
- $0.45
- Per 1,000 requests
- $0.45
Monthly cost breakdown
- Uncached input tokens
- $6.00
- Cache-read tokens
- $0.00
- Cache-write tokens
- $0.00
- Billed output tokens
- $7.50
- Extra cost / request (USD)
- $0.00
Equal estimated monthly cost for this workload.
The difference comes from the entered usage, cache settings, extra charges, and applicable tiers. It does not establish which model performs better.
Before taxes and credits. Batch, tools, regional fees, and other unentered charges are not included. Pricing sources & methodology ↗
The same starting price. Different thresholds.
Haiku 5.5 vs Luna 6 pricing, in USD per one million tokens. Official direct API, Standard text processing, before tax or credits.
| Model / full input length | Input | Cache read | Cache write | Output |
|---|---|---|---|---|
| Claude Haiku 5.5up to 100,000 tokens | $0.1 | $0.01 | $0.125 | $0.5 |
| Claude Haiku 5.5over 100,000 tokens | $0.5 | $0.05 | $0.625 | $2.5 |
| GPT-6 Lunaup to 272,000 tokens | $0.1 | $0.01 | $0.125 | $0.5 |
| GPT-6 Lunaover 272,000 tokens | $0.2 | $0.02 | $0.25 | $0.75 |
The full input includes uncached, cache-read, and cache-write tokens. A request crossing a threshold uses the higher tier for the entire request, including output. Haiku cache-write prices below use 5-minute retention; 1-hour writes cost $0.20 / $1.00 by tier.
Prices checked: 2026-10-12 · Anthropic ↗ · OpenAI ↗
Full calculation method →Three equal-usage examples
Haiku 5.5 vs Luna 6 with 30,000 requests per month, no cache, no extras. These are calculations, not performance tests.
| Input / output per call | Haiku monthly | Luna monthly |
|---|---|---|
| 2,000 / 500 | $13.50 | $13.50 |
| 150,000 / 2,000 | $2,400.00 | $480.00 |
| 300,000 / 2,000 | $4,650.00 | $1,845.00 |
At 150,000 input tokens, Haiku is above its 100,000-token threshold while Luna stays below 272,000. That specific scenario gives Luna an 80% lower bill; it does not establish an 80% saving for every task.
Choose with evidence from your own tasks
A useful model decision needs more than a monthly total.
For long documents
Separate requests by length, and count cache reads and writes toward the full input. Inspect billed output, including reasoning, instead of estimating only the length of the visible answer.
For interactive workflows
Enter latency measured with the same workload and conditions. A cheap model that misses your response-time requirement is not a qualified option. This tool does not benchmark network speed or model ability.
Haiku 5.5 vs Luna 6 FAQ
Answers for an honest model cost comparison.
Is Haiku 5.5 cheaper than GPT-6 Luna?
For identical short-input usage, the listed base prices are equal. Longer prompts, actual output, cache duration, and final acceptance rates can change the result. Use your own workload to compare.
Is Luna 6 the official model name?
GPT-6 Luna is the official name, and gpt-6-luna is its model ID. “Luna 6” is a search shorthand for the same model here; it is not a separate API model.
Do cached tokens count toward the thresholds?
Yes. The calculator chooses a tier using the full input length, including cache reads and writes. A cache hit can lower the token rate without moving the request into a shorter input tier.
Which model is better at coding?
This calculator cannot establish coding quality. Evaluate representative changes with your tests and acceptance rules, then enter total cost and accepted tasks. Different benchmarks and effort settings do not translate directly into your production success rate.
How do I include retries in Haiku 5.5 vs Luna 6?
In accepted-task mode, enter the total billed calls and total sample cost, including retries and failures. Each started task counts at most once as accepted. The calculator divides total cost by accepted tasks without adding another retry multiplier.
Compare costs against your own acceptance bar.
Start with the same business tasks and a shared definition of a useful answer.
Then use Haiku 5.5 vs Luna 6 estimates to budget the workflow you intend to ship.
No API calls · No fabricated quality scores