LLM Comparison

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

Side-by-side Qwen3.7 Plus 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 #36 vs #43AskClash overall scores 54.6 vs 51.0.
Pricing $0.40/$1.60 vs $0.10/$0.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAlibaba vs OpenAI.

Qwen3.7 Plus vs GPT-6 Luna benchmark comparison

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

MetricQwen3.7 PlusGPT-6 Luna
Overall Score54.651.0
Leaderboard Rank#36#43
ACB50.2
RWT7.5
HLE34.738.5
GPQA90.3
IFEval94.6
SWE-bench77.7
SWE-Pro57.6
Terminal-Bench70.3
DeepSWE66.6
GDPval-AA1522.11367.1
OSWorld73.3
MCP Atlas73.2
Finance Agent38.2
CharXiv85.9
MMMU-Pro79.075.5
Tau293.0
MRCR91.7
Input Price (per 1M tokens)$0.40$0.10
Output Price (per 1M tokens)$1.60$0.50
Context Window1M1.05M
Benchmarks Published156

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

Qwen3.7 Plus leads 3 and GPT-6 Luna leads 1 of 4 shared benchmarks. GPT-6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.7 PlusGPT-6 Luna
Overall
54.6Qwen3.7 Plus
51.0GPT-6 Luna
HLE
34.7Qwen3.7 Plus
38.5GPT-6 Luna
GDPval-AA
1522.1Qwen3.7 Plus
1367.1GPT-6 Luna
MMMU-Pro
79.0Qwen3.7 Plus
75.5GPT-6 Luna
Qwen3.7 Plus
Input$0.40
Output$1.60
Workload$0.72
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 Plus and GPT-6 Luna comparisons

Explore how Qwen3.7 Plus 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.