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GPT-5.6 Luna vs Gemini 3.1 Pro

Detailed comparison of API pricing, technical specifications, and benchmark scores. Updated 2026-06-29.

Cost at a Glance

Gemini 3.1 Pro is 2× more expensive than GPT-5.6 Luna — switching could save 50% on your monthly API bill.

At 5M input + 2M output tokens per month:

GPT-5.6 Luna$17.00/movsGemini 3.1 Pro$34.00/mo

Choosing GPT-5.6 Luna could save you $17.00/mo

Price Comparison (per 1M tokens)

Input (per 1M tokens)
$1.00vs$2.00
Output (per 1M tokens)
$6.00vs$12.00
Cache Write (per 1M tokens)
$1.25vs
Cache Read (per 1M tokens)
$0.10vs$0.20
Batch Input (per 1M tokens)
$0.50vs
Batch Output (per 1M tokens)
$3.00vs

Prices are per 1 million tokens. Actual costs depend on your monthly token volume. Use the calculator →

Specifications

Context Window
1Mvs1M
Max Output Tokens
64Kvs64K
Knowledge Cutoff
2026-04vs2026-04
Modalities
TextvsText, Image, Audio, Video
Prompt Caching
YesvsYes
Batch API
YesvsNo
Thinking / Reasoning
NovsYes

Benchmark Scores

SWE-bench Verified
62.5vs80.6
MMLU-Pro
79.0vs86.5
HumanEval
89.5vs93.5

Benchmark scores from official provider reports. Higher is better. Missing scores indicate the provider has not published that benchmark yet.

Use Cases

GPT-5.6 Luna

fastcheapgeneral

Gemini 3.1 Pro

multimodalcodinggeneral

About the Providers

GPT-5.6 Luna is developed by OpenAI. Gemini 3.1 Pro is developed by Google. This is a cross-provider comparison between OpenAI and Google models. For the most up-to-date pricing, always check the official API documentation from each provider.

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