LLM Comparison

MiniMax-M3 vs GPT-6 Luna: benchmark scores, pricing & comparison.

Side-by-side MiniMax-M3 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.

Rank #53 vs #56AskClash overall scores 45.6 vs 43.8.
Pricing $0.30/$1.20 vs $0.10/$0.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMiniMax vs OpenAI.

MiniMax-M3 vs GPT-6 Luna benchmark comparison

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

MetricMiniMax-M3GPT-6 Luna
Overall Score45.643.8
Leaderboard Rank#53#56
ACB29.850.2
RWT8.5
Coding Agent Index41.1
HLE37.138.5
GPQA92.9
IFEval82.9
SWE-bench80.5
SWE-Pro59.0
SWE-Atlas44.4
Terminal-Bench66.0
DeepSWE66.6
GDPval-AA58.41367.1
OSWorld70.1
MCP Atlas74.2
Finance Agent48.3
MMMU-Pro78.175.5
ARC-AGI 259.3
Tau288.9
Input Price (per 1M tokens)$0.30$0.10
Output Price (per 1M tokens)$1.20$0.50
Context Window1M1.05M
Benchmarks Published149

MiniMax-M3 vs GPT-6 Luna head-to-head charts

MiniMax-M3 leads 2 and GPT-6 Luna leads 3 of 5 shared benchmarks. GPT-6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

MiniMax-M3GPT-6 Luna
Overall
45.6MiniMax-M3
43.8GPT-6 Luna
ACB
29.8MiniMax-M3
50.2GPT-6 Luna
HLE
37.1MiniMax-M3
38.5GPT-6 Luna
GDPval-AA
58.4MiniMax-M3
1367.1GPT-6 Luna
MMMU-Pro
78.1MiniMax-M3
75.5GPT-6 Luna
MiniMax-M3
Input$0.30
Output$1.20
Workload$0.54
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 MiniMax-M3 and GPT-6 Luna comparisons

Explore how MiniMax-M3 and GPT-6 Luna 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.