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
Qwen3.8 27B vs GPT-6 Luna: benchmark scores, pricing & comparison.
Side-by-side Qwen3.8 27B 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 #31 vs #43AskClash overall scores 56.5 vs 51.0.
Pricing $0.45/$3.20 vs $0.10/$0.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryAlibaba vs OpenAI.
Qwen3.8 27B 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 | Qwen3.8 27B | GPT-6 Luna |
|---|---|---|
| Overall Score | 56.5 | 51.0 |
| Leaderboard Rank | #31 | #43 |
| ACB | 56.4 | 50.2 |
| HLE | 30.8 | 38.5 |
| GPQA | 89.2 | — |
| IFEval | 79.5 | — |
| SWE-Pro | 61.7 | — |
| Terminal-Bench | 73.0 | — |
| DeepSWE | 42.2 | 66.6 |
| GDPval-AA | 1408.9 | 1367.1 |
| OSWorld | 84.3 | — |
| Finance Agent | 48.6 | — |
| CharXiv | 90.2 | — |
| MMMU-Pro | 76.3 | 75.5 |
| Input Price (per 1M tokens) | $0.45 | $0.10 |
| Output Price (per 1M tokens) | $3.20 | $0.50 |
| Context Window | 262K | 1.05M |
| Benchmarks Published | 13 | 6 |
Qwen3.8 27B vs GPT-6 Luna head-to-head charts
Qwen3.8 27B leads 4 and GPT-6 Luna leads 2 of 6 shared benchmarks. GPT-6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Qwen3.8 27BGPT-6 Luna
Overall
ACB
HLE
DeepSWE
GDPval-AA
MMMU-Pro
Qwen3.8 27B
Input$0.45
Output$3.20
Workload$1.09
Context262K
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 Qwen3.8 27B and GPT-6 Luna comparisons
Explore how Qwen3.8 27B and GPT-6 Luna stack up against other top-ranked LLMs.
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.