LLM Comparison

GPT-6 Luna vs Composer 2.5: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Luna vs Composer 2.5 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 leaderboardGPT-6 Luna model pageComposer 2.5 model page
Rank #43 vs #49AskClash overall scores 51.0 vs 46.8.
Pricing $0.10/$0.50 vs $0.50/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Cursor.

GPT-6 Luna vs Composer 2.5 benchmark comparison

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

MetricGPT-6 LunaComposer 2.5
Overall Score51.046.8
Leaderboard Rank#43#49
ACB50.253.2
RWT—8.5
Coding Agent Index—62.0
HLE38.5—
SWE-Pro—47.0
SWE-Atlas—72.0
Terminal-Bench—69.3
DeepSWE66.6—
GDPval-AA1367.1—
MMMU-Pro75.5—
Input Price (per 1M tokens)$0.10$0.50
Output Price (per 1M tokens)$0.50$2.50
Context Window1.05M200K
Benchmarks Published65

GPT-6 Luna vs Composer 2.5 head-to-head charts

GPT-6 Luna leads 1 and Composer 2.5 leads 1 of 2 shared benchmarks. GPT-6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 LunaComposer 2.5
Overall
51.0GPT-6 Luna
46.8Composer 2.5
ACB
50.2GPT-6 Luna
53.2Composer 2.5
GPT-6 Luna
Input$0.10
Output$0.50
Workload$0.20
Context1.05M
Composer 2.5
Input$0.50
Output$2.50
Workload$1.00
Context200K

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GPT-6 Luna and Composer 2.5 comparisons

Explore how GPT-6 Luna and Composer 2.5 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GPT-6 LunaClaude Fable 5.1 vs Composer 2.5Claude Fable 5 vs GPT-6 LunaClaude Fable 5 vs Composer 2.5Claude Opus 5.5 vs GPT-6 LunaClaude Opus 5.5 vs Composer 2.5Claude Opus 5 vs GPT-6 LunaClaude Opus 5 vs Composer 2.5GPT-5.6 Sol vs GPT-6 LunaGPT-5.6 Sol vs Composer 2.5

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.