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
Composer 2.5 vs GPT-6 Luna: benchmark scores, pricing & comparison.
Side-by-side Composer 2.5 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 #48 vs #56AskClash overall scores 48.0 vs 43.8.
Pricing $0.50/$2.50 vs $0.10/$0.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryCursor vs OpenAI.
Composer 2.5 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 | Composer 2.5 | GPT-6 Luna |
|---|---|---|
| Overall Score | 48.0 | 43.8 |
| Leaderboard Rank | #48 | #56 |
| ACB | 53.2 | 50.2 |
| RWT | 8.5 | — |
| Coding Agent Index | 62.0 | 41.1 |
| HLE | — | 38.5 |
| SWE-Pro | 47.0 | — |
| SWE-Atlas | 72.0 | 44.4 |
| Terminal-Bench | 69.3 | — |
| DeepSWE | — | 66.6 |
| GDPval-AA | — | 1367.1 |
| MMMU-Pro | — | 75.5 |
| ARC-AGI 2 | — | 59.3 |
| Input Price (per 1M tokens) | $0.50 | $0.10 |
| Output Price (per 1M tokens) | $2.50 | $0.50 |
| Context Window | 200K | 1.05M |
| Benchmarks Published | 5 | 9 |
Composer 2.5 vs GPT-6 Luna head-to-head charts
Composer 2.5 leads 4 and GPT-6 Luna leads 0 of 4 shared benchmarks. GPT-6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Composer 2.5GPT-6 Luna
Overall
ACB
Coding Agent Index
SWE-Atlas
Composer 2.5
Input$0.50
Output$2.50
Workload$1.00
Context200K
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 Composer 2.5 and GPT-6 Luna comparisons
Explore how Composer 2.5 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.