tokevenClaudevsGPT
Claude Haiku 5.5 vs GPT 5.6 Luna
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
Claude Haiku 5.5
Fast / BudgetGPT 5.6 Luna
Fast / BudgetInput $/MTok
$0.10
$0.20
Output $/MTok
$0.50
$1.20
Cache discount
90% off
90% off
Context
1M
922K
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
0
vs
62
Code Review
0
vs
68
Summarization
0
vs
57
Q&A
0
vs
85
Extraction
0
vs
74
Reasoning
0
vs
86
Classification
0
vs
91
Creative Writing
0
vs
69
Claude Haiku 5.5
GPT 5.6 Luna
Guidance
When to use Claude Haiku 5.5 vs GPT 5.6 Luna
Choose Claude Haiku 5.5 when...
- -Cost matters: 50% cheaper on input tokens
- -You need a larger context window (1M vs 922K)
Choose GPT 5.6 Luna when...
- Similar performance; consider provider preference or ecosystem fit.
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
Claude Haiku 5.5
GPT 5.6 Luna
100K tokens
$0.02Cheaper
$0.05
1M tokens
$1.10
$0.82Cheaper
10M tokens
$11.00
$8.20Cheaper
FAQ
When should I use Claude Haiku 5.5 instead of GPT 5.6 Luna?
Claude Haiku 5.5 and GPT 5.6 Luna perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is GPT 5.6 Luna cheaper than Claude Haiku 5.5?
GPT 5.6 Luna input costs $0.20/MTok, which is 100% more than Claude Haiku 5.5 at $0.10/MTok.
What are the context window sizes for Claude Haiku 5.5 and GPT 5.6 Luna?
Claude Haiku 5.5 has a 1M token context window. GPT 5.6 Luna has a 922K token context window.
Go deeper on either model
Per-call cost calculators, provider lineups, and price history for both models on this page.
Other comparisons
How Claude Haiku 5.5 and GPT 5.6 Luna stack up against the rest of the field.
Track your real costs
Comparisons show estimated costs at list price. The dashboard reveals your real spend and savings.