tokevenClaudevsGPT
Claude Opus 4.5 vs GPT 6 Luna
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
Claude Opus 4.5
FlagshipGPT 6 Luna
Fast / BudgetInput $/MTok
$5.00
$0.10
Output $/MTok
$25.00
$0.50
Cache discount
90% off
90% off
Context
200K
922K
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
0
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0
Code Review
0
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0
Summarization
0
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0
Q&A
0
vs
0
Extraction
0
vs
0
Reasoning
0
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0
Classification
0
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0
Creative Writing
0
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0
Claude Opus 4.5
GPT 6 Luna
Guidance
When to use Claude Opus 4.5 vs GPT 6 Luna
Choose Claude Opus 4.5 when...
- Similar performance; consider provider preference or ecosystem fit.
Choose GPT 6 Luna when...
- -Cost matters: 98% cheaper on input tokens
- -You need a larger context window (922K vs 200K)
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
Claude Opus 4.5
GPT 6 Luna
100K tokens
$1.10
$0.02Cheaper
1M tokens
$11.00
$0.36Cheaper
10M tokens
$110.00
$3.65Cheaper
FAQ
When should I use Claude Opus 4.5 instead of GPT 6 Luna?
Claude Opus 4.5 and GPT 6 Luna perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is GPT 6 Luna cheaper than Claude Opus 4.5?
Yes. GPT 6 Luna input costs $0.10/MTok vs $5.00/MTok for Claude Opus 4.5, saving 98% on input.
What are the context window sizes for Claude Opus 4.5 and GPT 6 Luna?
Claude Opus 4.5 has a 200K 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 Opus 4.5 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.