LLM Comparison

GPT-5.6 Luna vs Grok 4.7: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Luna vs Grok 4.7 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-5.6 Luna model pageGrok 4.7 model page
Rank #21 vs #28AskClash overall scores 64.8 vs 60.9.
Pricing $1.00/$6.00 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs xAI.

GPT-5.6 Luna vs Grok 4.7 benchmark comparison

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

MetricGPT-5.6 LunaGrok 4.7
Overall Score64.860.9
Leaderboard Rank#21#28
ACB56.166.4
RWT9.5—
Coding Agent Index75.056.0
HLE39.543.1
GPQA92.3—
SWE-Pro62.7—
SWE-Atlas81.063.0
Terminal-Bench84.7—
DeepSWE67.273.0
GDPval-AA1592.01695.2
Finance Agent55.049.2
MMMU-Pro78.4—
ARC-AGI 259.5—
MRCR41.3—
Input Price (per 1M tokens)$1.00$2.00
Output Price (per 1M tokens)$6.00$6.00
Context Window1M500K
Benchmarks Published1510

GPT-5.6 Luna vs Grok 4.7 head-to-head charts

GPT-5.6 Luna leads 4 and Grok 4.7 leads 4 of 8 shared benchmarks. GPT-5.6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 LunaGrok 4.7
Overall
64.8GPT-5.6 Luna
60.9Grok 4.7
ACB
56.1GPT-5.6 Luna
66.4Grok 4.7
Coding Agent Index
75.0GPT-5.6 Luna
56.0Grok 4.7
HLE
39.5GPT-5.6 Luna
43.1Grok 4.7
SWE-Atlas
81.0GPT-5.6 Luna
63.0Grok 4.7
DeepSWE
67.2GPT-5.6 Luna
73.0Grok 4.7
GDPval-AA
1592.0GPT-5.6 Luna
1695.2Grok 4.7
Finance Agent
55.0GPT-5.6 Luna
49.2Grok 4.7
GPT-5.6 Luna
Input$1.00
Output$6.00
Workload$2.20
Context1M
Grok 4.7
Input$2.00
Output$6.00
Workload$3.20
Context500K

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

More GPT-5.6 Luna and Grok 4.7 comparisons

Explore how GPT-5.6 Luna and Grok 4.7 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GPT-5.6 LunaClaude Fable 5.1 vs Grok 4.7Claude Opus 5.5 vs GPT-5.6 LunaClaude Opus 5.5 vs Grok 4.7Claude Fable 5 vs GPT-5.6 LunaClaude Fable 5 vs Grok 4.7GPT-5.6 Sol vs GPT-5.6 LunaGPT-5.6 Sol vs Grok 4.7Claude Opus 5 vs GPT-5.6 LunaClaude Opus 5 vs Grok 4.7

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.