tokevenClaudevsGPT
Claude Opus 4.6 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 Opus 4.6
FlagshipGPT 5.6 Luna
Fast / BudgetInput $/MTok
$5.00
$0.20
Output $/MTok
$25.00
$1.20
Cache discount
90% off
90% off
Context
1,000K
922K
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
0
vs
70
Code Review
0
vs
68
Summarization
0
vs
84
Q&A
0
vs
85
Extraction
0
vs
89
Reasoning
0
vs
63
Classification
0
vs
91
Creative Writing
0
vs
58
Claude Opus 4.6
GPT 5.6 Luna
Guidance
When to use Claude Opus 4.6 vs GPT 5.6 Luna
Choose Claude Opus 4.6 when...
- -You need a larger context window (1,000K vs 922K)
- Similar performance; consider provider preference or ecosystem fit.
Choose GPT 5.6 Luna when...
- -Cost matters: 96% cheaper on input tokens
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
Claude Opus 4.6
GPT 5.6 Luna
100K tokens
$1.10
$0.05Cheaper
1M tokens
$11.00
$0.82Cheaper
10M tokens
$110.00
$8.20Cheaper
FAQ
When should I use Claude Opus 4.6 instead of GPT 5.6 Luna?
Claude Opus 4.6 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 Opus 4.6?
Yes. GPT 5.6 Luna input costs $0.20/MTok vs $5.00/MTok for Claude Opus 4.6, saving 96% on input.
What are the context window sizes for Claude Opus 4.6 and GPT 5.6 Luna?
Claude Opus 4.6 has a 1,000K 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 Opus 4.6 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.