How do Qwen3.7 Max and GPT-6 Luna compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Qwen3.7 Max and GPT-6 Luna when publicly disclosed.

LLM Comparison

Qwen3.7 Max vs GPT-6 Luna: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.7 Max or GPT-6 Luna?

AskClash compares Qwen3.7 Max and GPT-6 Luna side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

Side-by-side Qwen3.7 Max 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 leaderboard Qwen3.7 Max model page GPT-6 Luna model page

Rank #24 vs #43AskClash overall scores 60.0 vs 51.0.

Pricing $2.50/$7.50 vs $0.10/$0.50Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryAlibaba vs OpenAI.

Qwen3.7 Max vs GPT-6 Luna benchmark comparison

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

Metric	Qwen3.7 Max	GPT-6 Luna
Overall Score	60.0	51.0
Leaderboard Rank	#24	#43
ACB	—	50.2
RWT	7.5	—
HLE	41.4	38.5
GPQA	92.4	—
IFEval	94.3	—
SWE-bench	80.4	—
Terminal-Bench	69.7	—
DeepSWE	—	66.6
GDPval-AA	1546.0	1367.1
MCP Atlas	76.4	—
Finance Agent	48.4	—
MMMU-Pro	—	75.5
Tau2	94.7	—
MRCR	90.4	—
Input Price (per 1M tokens)	$2.50	$0.10
Output Price (per 1M tokens)	$7.50	$0.50
Context Window	1M	1.05M
Benchmarks Published	11	6

Qwen3.7 Max vs GPT-6 Luna head-to-head charts

Qwen3.7 Max leads 3 and GPT-6 Luna leads 0 of 3 shared benchmarks. GPT-6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.7 MaxGPT-6 Luna

Overall

60.0Qwen3.7 Max

51.0GPT-6 Luna

HLE

41.4Qwen3.7 Max

38.5GPT-6 Luna

GDPval-AA

1546.0Qwen3.7 Max

1367.1GPT-6 Luna

Qwen3.7 Max

Input$2.50

Output$7.50

Workload$4.00

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 Qwen3.7 Max and GPT-6 Luna comparisons

Explore how Qwen3.7 Max and GPT-6 Luna stack up against other top-ranked LLMs.

Claude Fable 5.1 vs Qwen3.7 Max Claude Fable 5.1 vs GPT-6 Luna Claude Fable 5 vs Qwen3.7 Max Claude Fable 5 vs GPT-6 Luna Claude Opus 5.5 vs Qwen3.7 Max Claude Opus 5.5 vs GPT-6 Luna Claude Opus 5 vs Qwen3.7 Max Claude Opus 5 vs GPT-6 Luna GPT-5.6 Sol vs Qwen3.7 Max GPT-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.