LLM Comparison

Gemini 3.1 Pro vs GPT-6 Luna: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.1 Pro vs GPT-6 Luna comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Open live leaderboardGemini 3.1 Pro model pageGPT-6 Luna model page
Rank #41 vs #43AskClash overall scores 51.4 vs 51.0.
Pricing $2.00/$12.0 vs $0.10/$0.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryGoogle vs OpenAI.

Gemini 3.1 Pro vs GPT-6 Luna benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGemini 3.1 ProGPT-6 Luna
Overall Score51.451.0
Leaderboard Rank#41#43
ACB—50.2
HLE51.438.5
GPQA94.3—
SWE-bench80.6—
SWE-Pro54.2—
Terminal-Bench68.5—
DeepSWE11.766.6
GDPval-AA1317.01367.1
MCP Atlas69.2—
Finance Agent43.0—
CharXiv80.2—
MMMU-Pro83.975.5
ARC-AGI 277.1—
Tau299.3—
MRCR84.9—
Input Price (per 1M tokens)$2.00$0.10
Output Price (per 1M tokens)$12.0$0.50
Context Window1M1.05M
Benchmarks Published146

Gemini 3.1 Pro vs GPT-6 Luna head-to-head charts

Gemini 3.1 Pro leads 3 and GPT-6 Luna leads 2 of 5 shared benchmarks. GPT-6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.1 ProGPT-6 Luna
Overall
51.4Gemini 3.1 Pro
51.0GPT-6 Luna
HLE
51.4Gemini 3.1 Pro
38.5GPT-6 Luna
DeepSWE
11.7Gemini 3.1 Pro
66.6GPT-6 Luna
GDPval-AA
1317.0Gemini 3.1 Pro
1367.1GPT-6 Luna
MMMU-Pro
83.9Gemini 3.1 Pro
75.5GPT-6 Luna
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
Context1M
GPT-6 Luna
Input$0.10
Output$0.50
Workload$0.20
Context1.05M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Gemini 3.1 Pro and GPT-6 Luna comparisons

Explore how Gemini 3.1 Pro and GPT-6 Luna stack up against other top-ranked LLMs.

Claude Fable 5.1 vs Gemini 3.1 ProClaude Fable 5.1 vs GPT-6 LunaClaude Fable 5 vs Gemini 3.1 ProClaude Fable 5 vs GPT-6 LunaClaude Opus 5.5 vs Gemini 3.1 ProClaude Opus 5.5 vs GPT-6 LunaClaude Opus 5 vs Gemini 3.1 ProClaude Opus 5 vs GPT-6 LunaGPT-5.6 Sol vs Gemini 3.1 ProGPT-5.6 Sol vs GPT-6 Luna

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.