Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
GPT-5.6 Luna vs Qwen3.7 Plus: benchmark scores, pricing & comparison.
Side-by-side GPT-5.6 Luna vs Qwen3.7 Plus 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 #17 vs #21AskClash overall scores 62.2 vs 57.8.
Pricing $1.00/$6.00 vs $0.40/$1.60Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Alibaba.
GPT-5.6 Luna vs Qwen3.7 Plus benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | GPT-5.6 Luna | Qwen3.7 Plus |
|---|---|---|
| Overall Score | 62.2 | 57.8 |
| Leaderboard Rank | #17 | #21 |
| RWT | — | 7.5 |
| Coding Agent Index | 75.0 | — |
| HLE | — | 34.7 |
| GPQA | 92.3 | 90.3 |
| IFEval | — | 94.6 |
| SWE-bench | — | 77.7 |
| SWE-Pro | — | 57.6 |
| SWE-Atlas | 81.0 | — |
| Terminal-Bench | 82.5 | 70.3 |
| LiveCodeBench | — | 89.6 |
| OSWorld | — | 73.3 |
| MCP Atlas | — | 73.2 |
| Finance Agent | — | 38.2 |
| CharXiv | — | 85.9 |
| MMMU-Pro | 78.4 | 79.0 |
| ARC-AGI 2 | 59.5 | — |
| Tau2 | — | 93.0 |
| MRCR | — | 91.7 |
| Input Price (per 1M tokens) | $1.00 | $0.40 |
| Output Price (per 1M tokens) | $6.00 | $1.60 |
| Context Window | 1M | 1M |
| Benchmark Cells | 8 | 16 |
More GPT-5.6 Luna and Qwen3.7 Plus comparisons
Explore how GPT-5.6 Luna and Qwen3.7 Plus stack up against other top-ranked LLMs.
Claude Fable 5 vs GPT-5.6 LunaClaude Fable 5 vs Qwen3.7 PlusGPT-5.6 Sol vs GPT-5.6 LunaGPT-5.6 Sol vs Qwen3.7 PlusSakana Fugu Ultra vs GPT-5.6 LunaSakana Fugu Ultra vs Qwen3.7 PlusClaude Opus 4.8 vs GPT-5.6 LunaClaude Opus 4.8 vs Qwen3.7 PlusClaude Sonnet 5 vs GPT-5.6 LunaClaude Sonnet 5 vs Qwen3.7 Plus
How to read this comparison
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.