tokevenGPTvsDeepSeek
GPT 5.6 Luna vs DeepSeek V3
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
GPT 5.6 Luna
Fast / BudgetDeepSeek V3
Mid-tierInput $/MTok
$0.20
$0.27
Output $/MTok
$1.20
$1.10
Cache discount
90% off
74% off
Context
922K
164K
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
62
vs
0
Code Review
68
vs
0
Summarization
57
vs
0
Q&A
85
vs
0
Extraction
74
vs
0
Reasoning
86
vs
0
Classification
91
vs
0
Creative Writing
69
vs
0
GPT 5.6 Luna
DeepSeek V3
Guidance
When to use GPT 5.6 Luna vs DeepSeek V3
Choose GPT 5.6 Luna when...
- -Cost matters: 26% cheaper on input tokens
- -You need a larger context window (922K vs 164K)
Choose DeepSeek V3 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.
GPT 5.6 Luna
DeepSeek V3
100K tokens
$0.05Cheaper
$0.05
1M tokens
$0.82
$0.52Cheaper
10M tokens
$8.20
$5.19Cheaper
FAQ
When should I use GPT 5.6 Luna instead of DeepSeek V3?
GPT 5.6 Luna and DeepSeek V3 perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is DeepSeek V3 cheaper than GPT 5.6 Luna?
DeepSeek V3 input costs $0.27/MTok, which is 35% more than GPT 5.6 Luna at $0.20/MTok.
What are the context window sizes for GPT 5.6 Luna and DeepSeek V3?
GPT 5.6 Luna has a 922K token context window. DeepSeek V3 has a 164K 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 GPT 5.6 Luna and DeepSeek V3 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.