tokevenGPTvsGemini
GPT 5.6 Luna vs Gemini 3.1 Pro
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
GPT 5.6 Luna
Fast / BudgetGemini 3.1 Pro
Mid-tierInput $/MTok
$1.00
$2.00
Output $/MTok
$6.00
$12.00
Cache discount
90% off
75% off
Context
1,000K
1,000K
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
70
vs
86
Code Review
68
vs
84
Summarization
84
vs
87
Q&A
85
vs
87
Extraction
89
vs
85
Reasoning
63
vs
90
Classification
91
vs
86
Creative Writing
58
vs
84
GPT 5.6 Luna
Gemini 3.1 Pro
Guidance
When to use GPT 5.6 Luna vs Gemini 3.1 Pro
Choose GPT 5.6 Luna when...
- -You need strong classification (confidence 91 vs 86)
- -You need strong extraction (confidence 89 vs 85)
- -Cost matters: 50% cheaper on input tokens
Choose Gemini 3.1 Pro when...
- -You need strong reasoning (confidence 90 vs 63)
- -You need strong summarization (confidence 87 vs 84)
- -You need strong q&a (confidence 87 vs 85)
- -You need strong code generation (confidence 86 vs 70)
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
GPT 5.6 Luna
Gemini 3.1 Pro
100K tokens
$0.25Cheaper
$0.50
1M tokens
$2.50Cheaper
$5.00
10M tokens
$25.00Cheaper
$50.00
FAQ
When should I use GPT 5.6 Luna instead of Gemini 3.1 Pro?
GPT 5.6 Luna outperforms Gemini 3.1 Pro for Classification, Extraction. It costs $1.00/$6.00 per million tokens (input/output).
Is Gemini 3.1 Pro cheaper than GPT 5.6 Luna?
Gemini 3.1 Pro input costs $2.00/MTok, which is 100% more than GPT 5.6 Luna at $1.00/MTok.
What are the context window sizes for GPT 5.6 Luna and Gemini 3.1 Pro?
GPT 5.6 Luna has a 1,000K token context window. Gemini 3.1 Pro has a 1,000K token context window.
Track your real costs
Comparisons show estimated costs at list price. The dashboard reveals your real spend and savings.