LLM Comparison

GPT-6 Luna vs Gemini 3.5 Flash-Lite: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Luna vs Gemini 3.5 Flash-Lite 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.

Verdict: GPT-6 Luna ranks higher (#41 vs #60) and wins 4 of 4 shared benchmarks; GPT-6 Luna costs less ($0.10/$0.50 vs $0.30/$2.50 per 1M tokens).

Rank #41 vs #60AskClash overall scores 42.2 vs 17.4.
Pricing $0.10/$0.50 vs $0.30/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Google.

GPT-6 Luna vs Gemini 3.5 Flash-Lite benchmark comparison

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

MetricGPT-6 LunaGemini 3.5 Flash-Lite
Overall Score42.217.4
Leaderboard Rank#41#60
ACB50.2—
RWT—7.0
HLE38.518.8
GPQA—83.8
SWE-Pro—54.2
DeepSWE66.6—
GDPval-AA1444.51140.0
OSWorld—74.0
Finance Agent49.947.4
MMMU-Pro79.779.0
ARC-AGI 259.3—
MRCR—72.2
Input Price (per 1M tokens)$0.10$0.30
Output Price (per 1M tokens)$0.50$2.50
Context Window1.05M1M
Benchmarks Published109

GPT-6 Luna vs Gemini 3.5 Flash-Lite head-to-head charts

GPT-6 Luna leads 5 and Gemini 3.5 Flash-Lite leads 0 of 5 shared benchmarks. GPT-6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 LunaGemini 3.5 Flash-Lite
Overall
42.2GPT-6 Luna
17.4Gemini 3.5 Flash-Lite
HLE
38.5GPT-6 Luna
18.8Gemini 3.5 Flash-Lite
GDPval-AA
1444.5GPT-6 Luna
1140.0Gemini 3.5 Flash-Lite
Finance Agent
49.9GPT-6 Luna
47.4Gemini 3.5 Flash-Lite
MMMU-Pro
79.7GPT-6 Luna
79.0Gemini 3.5 Flash-Lite
GPT-6 Luna
Input$0.10
Output$0.50
Workload$0.20
Context1.05M
Gemini 3.5 Flash-Lite
Input$0.30
Output$2.50
Workload$0.80
Context1M

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

More GPT-6 Luna and Gemini 3.5 Flash-Lite comparisons

Explore how GPT-6 Luna and Gemini 3.5 Flash-Lite stack up against other top-ranked LLMs.

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.