LLM Comparison

GPT-6.1 Sol vs GPT-6 Luna: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Sol 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.

Verdict: GPT-6.1 Sol ranks higher (#8 vs #45) and wins 11 of 11 shared benchmarks; GPT-6 Luna costs less ($0.10/$0.50 vs $2.00/$10.0 per 1M tokens).

Rank #8 vs #45AskClash overall scores 69.3 vs 37.6.
Pricing $2.00/$10.0 vs $0.10/$0.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs OpenAI.

GPT-6.1 Sol vs GPT-6 Luna benchmark comparison

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

MetricGPT-6.1 SolGPT-6 Luna
Overall Score69.337.6
Leaderboard Rank#8#45
ACB69.950.2
AA Intelligence Index52.027.9
AutomationBench-AA64.953.2
Coding Agent Index54.131.2
HLE52.938.5
GPQA95.0—
SWE-Atlas59.938.4
Terminal-Bench 4.056.1—
DeepSWE75.266.6
GDPval-AA1575.11443.6
Finance Agent v2.161.856.8
MMMU-Pro86.079.7
ARC-AGI 294.259.3
Input Price (per 1M tokens)$2.00$0.10
Output Price (per 1M tokens)$10.0$0.50
Context Window1.05M1.05M
Benchmarks Published1412

GPT-6.1 Sol vs GPT-6 Luna head-to-head charts

GPT-6.1 Sol leads 11 and GPT-6 Luna leads 0 of 11 shared benchmarks. GPT-6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 SolGPT-6 Luna
Overall
69.3GPT-6.1 Sol
37.6GPT-6 Luna
ACB
69.9GPT-6.1 Sol
50.2GPT-6 Luna
AA Intelligence Index
52.0GPT-6.1 Sol
27.9GPT-6 Luna
AutomationBench-AA
64.9GPT-6.1 Sol
53.2GPT-6 Luna
Coding Agent Index
54.1GPT-6.1 Sol
31.2GPT-6 Luna
HLE
52.9GPT-6.1 Sol
38.5GPT-6 Luna
SWE-Atlas
59.9GPT-6.1 Sol
38.4GPT-6 Luna
DeepSWE
75.2GPT-6.1 Sol
66.6GPT-6 Luna
GDPval-AA
1575.1GPT-6.1 Sol
1443.6GPT-6 Luna
Finance Agent v2.1
61.8GPT-6.1 Sol
56.8GPT-6 Luna
MMMU-Pro
86.0GPT-6.1 Sol
79.7GPT-6 Luna
ARC-AGI 2
94.2GPT-6.1 Sol
59.3GPT-6 Luna
GPT-6.1 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M
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 GPT-6.1 Sol and GPT-6 Luna comparisons

Explore how GPT-6.1 Sol 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.