tokevenClaudevsGPT
Claude Haiku 5.5 vs GPT 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 6 Luna
Fast / BudgetInput $/MTok
$0.10
$0.10
Output $/MTok
$0.50
$0.50
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
0
Summarization
0
vs
53
Q&A
0
vs
0
Extraction
0
vs
75
Reasoning
0
vs
82
Classification
0
vs
0
Creative Writing
0
vs
63
Claude Haiku 5.5
GPT 6 Luna
Guidance
When to use Claude Haiku 5.5 vs GPT 6 Luna
Choose Claude Haiku 5.5 when...
- -You need a larger context window (1M vs 922K)
- Similar performance; consider provider preference or ecosystem fit.
Choose GPT 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 6 Luna
100K tokens
$0.02
$0.02
1M tokens
$1.10
$0.36Cheaper
10M tokens
$11.00
$3.65Cheaper
FAQ
When should I use Claude Haiku 5.5 instead of GPT 6 Luna?
Claude Haiku 5.5 and GPT 6 Luna perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is GPT 6 Luna cheaper than Claude Haiku 5.5?
Both models have the same input pricing at $0.10/MTok. Compare output pricing: $0.50 vs $0.50/MTok.
What are the context window sizes for Claude Haiku 5.5 and GPT 6 Luna?
Claude Haiku 5.5 has a 1M token context window. GPT 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 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.