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Claude Haiku 4.5 vs GPT-6 Luna API Cost

Claude Haiku 4.5 at $1/$5 against GPT-6 Luna at $0.10/$0.50 per million tokens: what a tenth of the price means at your volume.

Updated · By Niraj Kumar · 6 sources

Models

Each request

Count text inCount text in
tokens

System prompt, conversation history, documents and tool definitions are all resent on every call.

tokens

The visible answer.

Count tokens from a prompt or JSON payloadShow

Plain text, OpenAI Chat or Responses JSON, or Anthropic Messages JSON. A final assistant message or a response body counts as output. Counted in your browser; nothing is uploaded.

Loading the tokenizer…

Counts use OpenAI's o200k tokenizer, so they are exact for GPT-6 and GPT-5 models, plus a few tokens of message framing. Other providers' tokenizers count the same text differently and do not publish a conversion factor; Anthropic says Claude models from 4.7 on produce about 30% more tokens than earlier Claude models. For an exact count on another model, paste one of its API responses: the usage it reports is shown above.

tokens

Thinking tokens are billed as output. Leave at 0 for models or settings that do not reason.

Volume

PricePrice

30,000 requests over 30 days.

Discounts

%
0%100%

The share of input that repeats exactly at the start of every request, such as a fixed system prompt. The prompt caching calculator prices cache writes and expiry in detail.

Batch APIBatch API
Cheaper for this workloadGPT-6 Luna90% less, saving $148.50 a month
Claude Haiku 4.5
$165.00 a month
$0.0055 a request · 10th cheapest of 24
GPT-6 Luna
$16.50 a month
$0.00055 a request · 2nd cheapest of 24
At 10× the volume
$1,485 a month apart
Cheapest listed model
Claude Haiku 5.5
$16.50 a month
Side by side
MeasureClaude Haiku 4.5GPT-6 Luna
Input, per 1M tokens$1$0.10
Cache hit, per 1M tokens$0.10$0.01
Output, per 1M tokens$5$0.50
Context window200K tokens1.05M tokens
Max output64K tokens128K tokens
Batch discount50%50%
Long-context surchargeNoneAbove 272K input
Input cost a month$90.00$9.00
Output cost a month$75.00$7.50
Every model on this workload, per month3,000 tokens in, 500 out, 1,000 a day. Hover or focus a row for rates.
  1. 1Claude Haiku 5.5Anthropic$16.50
  2. 2GPT-6 LunaOpenAI$16.50
  3. 3Qwen3.8 FlashAlibaba$20.55
  4. 4GPT-5.6 LunaOpenAI$36.00
  5. 5DeepSeek V4.1 FlashDeepSeek$45.00
  6. 6Qwen3.7 PlusAlibaba$60.00
  7. 7Gemini 3.5 Flash-LiteGoogle$64.50
  8. 8Gemini 3.8 FlashGoogle$123.75
  9. 9Grok 4.3xAI$150.00
  10. 10Claude Haiku 4.5Anthropic$165.00
  11. 11DeepSeek V4 ProDeepSeek$178.20
  12. 12Grok 4.7xAI$270.00
  13. 13Qwen3.8 MaxAlibaba$270.00
  14. 14Claude Sonnet 5.5Anthropic$330.00
  15. 15Claude Sonnet 5Anthropic$330.00
  16. 16GPT-6.1 SolOpenAI$330.00
  17. 17GPT-6 SolOpenAI$330.00
  18. 18GPT-5.6 TerraOpenAI$360.00
  19. 19Gemini 3.1 ProGoogle$360.00
  20. 20Claude Opus 5.5Anthropic$660.00
  21. 21GPT-5.6 SolOpenAI$660.00
  22. 22Claude Opus 5Anthropic$825.00
  23. 23Claude Fable 5.1Anthropic$1,650
  24. 24GPT-6 AstraOpenAI$1,650

How the Claude Haiku 4.5 vs GPT-6 Luna API Cost works

cost = (fresh input × input rate + cached input × cache rate + (output + reasoning) × output rate) ÷ 1,000,000

This page uses the same method as the LLM API Cost Calculator, which explains each term and assumption in full.

Worked example

A chat feature sending 3,000 input tokens and getting 500 back, 1,000 times a day, priced on both models with no caching.

  1. 1Claude Haiku 4.5: 3,000 × $1 + 500 × $5, ÷ 1,000,000 = $0.0055 a request, $165.00 a month
  2. 2GPT-6 Luna: 3,000 × $0.10 + 500 × $0.50, ÷ 1,000,000 = $0.00055 a request, $16.50 a month
  3. 3Difference: $148.50 a month

GPT-6 Luna is $148.50 a month cheaper for this workload, 90% less.

Frequently asked questions

Which is cheaper, Claude Haiku 4.5 or GPT-6 Luna?

At standard list rates, GPT-6 Luna is 90% cheaper than Claude Haiku 4.5 on a typical chat request (3,000 tokens in, 500 out); GPT-6 Luna is 90% cheaper than Claude Haiku 4.5 on output-heavy generation (500 in, 2,000 out); and GPT-6 Luna is 90% cheaper than Claude Haiku 4.5 on a large cached prompt (20,000 in, 90% cached, 500 out). Claude Haiku 4.5 charges $1 input and $5 output per million tokens; GPT-6 Luna charges $0.10 and $0.50.

GPT-6 Luna costs a tenth of Claude Haiku 4.5. When would Haiku still make sense?

When quality on your task justifies it, which only a test on your own data will tell you. On price alone Luna wins on every workload shape: its input, output and cache rates are all a tenth of Haiku's. Haiku 4.5 also has the smaller window, 200,000 tokens of context against Luna's 1.05 million, though Luna's rates double past 272,000 tokens.

Sources

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