Gemini 3.1 Pro vs GPT-6 Luna
Gemini 3.1 Pro and GPT-6 Luna are closely matched at 43.2 and 44.5 on the LLM Stats Score. GPT-6 Luna is 22.5x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3.1 Pro and GPT-6 Luna are closely matched on the overall LLM Stats Score at 43.2 and 44.5.
In the 1 individual benchmarks reported for both models, GPT-6 Luna wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-6 Luna is roughly 22.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 3.1 Pro
- you want predictable pricing at $2.00/M input and $12.00/M output
Choose GPT-6 Luna
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 22.5x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for Gemini 3.1 Pro · 5 for GPT-6 Luna
Gemini 3.1 Pro outperforms in 0 benchmarks, while GPT-6 Luna is better at 1 benchmark (DeepSWE 1.1).
GPT-6 Luna significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.00/1M tokens) is 20.0x more expensive than GPT-6 Luna ($0.10/1M tokens).
For output processing, Gemini 3.1 Pro ($12.00/1M tokens) is 24.0x more expensive than GPT-6 Luna ($0.50/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than GPT-6 Luna.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to Gemini 3.1 Pro's 1,000,000 tokens. Gemini 3.1 Pro can generate longer responses up to 1,000,000 tokens, while GPT-6 Luna is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.1 Pro and GPT-6 Luna support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
GPT-6 Luna
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while GPT-6 Luna was released on 2026-09-22.
GPT-6 Luna is 7 months newer than Gemini 3.1 Pro.
Feb 19, 2026
7 months ago
Sep 22, 2026
0 days ago
7mo newerKnowledge Cutoff
When training data ends
Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while GPT-6 Luna has a cutoff of 2026-05-18.
GPT-6 Luna has more recent training data (up to 2026-05-18), making it potentially better informed about events through that date compared to Gemini 3.1 Pro (2025-01-31).
Jan 2025
May 2026
1.3 yr newerProvider Availability
Gemini 3.1 Pro is available from DeepInfra, Google. GPT-6 Luna is available from OpenAI.
Gemini 3.1 Pro
GPT-6 Luna
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.1 Pro and GPT-6 Luna side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.1 Pro vs GPT-6 Luna.