Which is more cost-effective, GPT-5.6 Luna or Claude Haiku 4.5?

Based on 1M input + 1M output tokens, GPT-5.6 Luna costs $1.40/month versus Claude Haiku 4.5 at $6.00/month. The cheaper option depends on your token volume and prompt-to-completion ratio. Use the interactive calculator on this page to enter your exact usage.

How accurate is this cost comparison?

List prices come from each provider's own pricing page and every model page shows when they were last verified. The capability scores are iOPTERA's editorial composites — informed by public benchmarks, not benchmark results themselves; the methodology page explains how they are set.

Which model scores higher on benchmarks?

GPT-5.6 Luna scores 84 in coding and 85 in reasoning benchmarks. Claude Haiku 4.5 scores 83 in coding and 82 in reasoning. See the full 5-category breakdown in the Benchmark Comparison section above.

What are the context window sizes of GPT-5.6 Luna and Claude Haiku 4.5?

GPT-5.6 Luna supports a 1.1M-token context window while Claude Haiku 4.5 supports 200K tokens. A larger context window lets you process more text in a single API call.

Which model is faster for real-time applications?

GPT-5.6 Luna has a speed score of 98/100 and Claude Haiku 4.5 scores 97/100 on our latency benchmark. For interactive chatbots and low-latency tasks, the higher speed score is preferable.

Can I calculate costs for my specific token volume?

Yes. Use the interactive cost calculator on this page. Enter your monthly token volume and adjust the prompt-to-completion ratio. You can also use presets for common scenarios like Customer Support Bots (~30M tokens/month) or Document Summarizers (~15M tokens/month).

Cost and performance comparison

GPT-5.6 Luna vs Claude Haiku 4.5

Model AOpenAI

GPT-5.6 Luna

Capability score (editorial)85/100

Cost / 1M Tokens: $0.50; 70% in · 30% out mix
Value Index (score÷cost): 170.0; Higher = better value

Speed: 98/100
Context: 1.1M
Tier: Fast Tier

List price from the OpenAI pricing page, verified October 12, 2026.

Check the source

How we verify prices

Model BAnthropic

Claude Haiku 4.5

Capability score (editorial)82/100

Cost / 1M Tokens: $2.20; 70% in · 30% out mix; ≈ $2.42 for the same text, tokenizer included
Value Index (score÷cost): 33.9; Higher = better value

Speed: 97/100
Context: 200K
Tier: Fast Tier

List price from the Anthropic pricing page, verified October 12, 2026.

Its tokenizer produces about 10% more tokens than OpenAI's for the same text, so the real cost runs higher than the list price suggests. This is an estimate: the tokenizer has not been measured yet.

Check the source

How we verify prices

In-depth analysis

GPT-5.6 Luna vs Claude Haiku 4.5: Detailed Comparison

GPT-5.6 Luna is OpenAI's lightweight-tier language model with a 1.1M-token context window, excelling at data extraction. Claude Haiku 4.5 from Anthropic is a lightweight-tier model supporting 200K tokens in context, with standout performance in data extraction.

GPT-5.6 Luna is both the cheaper and the stronger model here — for the same text it costs 79% less than Claude Haiku 4.5 and still leads on combined coding and reasoning by 4 points. There is no tradeoff to weigh on this pair: unless you need something specific from Claude Haiku 4.5, the cheaper model is simply the better one. GPT-5.6 Luna is priced at $0.20/M input tokens and $1.20/M output tokens. Claude Haiku 4.5 costs $1.00/M input and $5.00/M output.

Claude Haiku 4.5 turns the same text into about 10% more tokens than GPT-5.6 Luna, because their tokenizers differ — so comparing list prices per token understates what Claude Haiku 4.5 costs. For the same text, split 70% input and 30% output and counted the way OpenAI's tokenizer counts it, Claude Haiku 4.5 works out at about $2.42 per million tokens and GPT-5.6 Luna at $0.50. Every cost figure on this page includes that difference.

On iOPTERA's editorial scores, GPT-5.6 Luna leads with 84/100 for coding and 85/100 for reasoning, against Claude Haiku 4.5's 83/100 and 82/100.

Capability breakdown

Across the five core benchmark categories, here is how GPT-5.6 Luna and Claude Haiku 4.5 stack up head to head:

coding

GPT-5.6 Luna leads

reasoning

GPT-5.6 Luna leads

data extraction

GPT-5.6 Luna leads

creative tasks

GPT-5.6 Luna leads

vision/multimodal

GPT-5.6 Luna leads

Best model by task

coding: GPT-5.6 Luna wins with 84/100
reasoning: GPT-5.6 Luna wins with 85/100
data extraction: GPT-5.6 Luna wins with 92/100
creative tasks: GPT-5.6 Luna wins with 84/100
vision/multimodal: GPT-5.6 Luna wins with 85/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), GPT-5.6 Luna runs about $4.40 while Claude Haiku 4.5 runs about $22.00 — GPT-5.6 Luna saves roughly $17.60 (80%) every month.

What actually decides it

GPT-5.6 Luna and Claude Haiku 4.5 come from different labs, which means different tokenizers, different API shapes, and a second vendor relationship. The same English text does not produce the same token count on both, so a price-per-million comparison understates the difference — measure your own prompts on each before treating the headline rates as the full story.

GPT-5.6 Luna and Claude Haiku 4.5 were released within 9 months of each other, so they are competing on the same evaluations under roughly the same conditions. That makes a direct benchmark comparison meaningful here in a way it usually is not — neither model has the advantage of being measured on a newer, easier set of tests.

The context gap is the largest single difference on this pair: GPT-5.6 Luna takes 1.1M tokens against 200K for Claude Haiku 4.5, roughly 5.3x. That is the difference between feeding in a whole repository or a full contract set and having to chunk it. If your work involves documents you cannot split cleanly, this decides it on its own.

Throughput is close enough to ignore — 98/100 versus 97/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.

GPT-5.6 Luna wins this comparison outright — cheaper and stronger. Choose Claude Haiku 4.5 only if it has a specific capability you need; on price and benchmarks it is behind on both.

What you actually pay

The list price is only the start. Prompt caching, batch processing and long prompts change the bill, and each provider sets them differently. Prices per 1M tokens.

Pricing terms beyond the list price, per 1M tokens
Pricing term	GPT-5.6 Luna	Claude Haiku 4.5
List price (input / output)	$0.20 / $1.20	$1.00 / $5.00
Cached input	$0.0210% of the input price	$0.1010% of the input price
Batch API	50% off input and output	50% off input and output
Long prompts	Over 272K tokens: $0.40 / $1.80	No surcharge across the 200K window
Input with 80% cache hits	$0.056	$0.28

With 80% of input served from the cache, GPT-5.6 Luna costs 82% less than Claude Haiku 4.5 for the same input text, counting each model's tokenizer.The tokenizer factor for Claude Haiku 4.5 is our estimate until it is measured.

The last row assumes 80% of input tokens are read from the cache, as in a chat app that re-sends a long system prompt or RAG over the same documents. Cache-write and storage charges are not included.

Claude also bills cache writes: 1.25× the input price for a 5-minute cache, 2× for one hour.

Checked on October 8, 2026 against the pricing pages of OpenAI, Anthropic.

Capability scores

iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us

CategoryGPT-5.6 LunaClaude HaikuWinner

Coding

Reasoning

Extraction

Creative

Vision

GPT-5.6 Luna: 5 wins

Claude Haiku 4.5: 0 wins

GPT-5.6 Luna leads overall

Speed Score

98/100vs97/100

GPT-5.6Claude

Context Window

1050Kvs200K

GPT-5.6Claude

What Is a Token?

Models don't read words — they process tokens.

A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.

Short phrase

"Hello, world!"

4 tokens

GPT-5.6 Luna: $0.08
Claude Haiku 4.5: $0.44

Business email

One typical email (~200 words)

~270 tokens

GPT-5.6 Luna: $5.40
Claude Haiku 4.5: $29.70

Code file

50-line Python script

~400 tokens

GPT-5.6 Luna: $8.00
Claude Haiku 4.5: $44.00

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both GPT-5.6 Luna and Claude Haiku 4.5, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.

How to check your token usage

response.usage.total_tokens

Every API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.

Your Cost Calculator

Enter your actual monthly token usage to see real savings

Quick Presets

Monthly Token Volume

30M tokens

Prompt / Completion Split

Prompt 70%Completion 30%

Cheaper

GPT-5.6 Luna

$15.00/mo

$180.00/yr

$0.20/M input$1.20/M output

Claude Haiku 4.5

$72.60/mo

$871.20/yr

$1.00/M input$5.00/M output

Annual Savings

$691.20 saved per year

GPT-5.6 Luna cheaper · $57.60/mo

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