How do Grok 4.6 and GPT-5.6 Luna compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Grok 4.6 and GPT-5.6 Luna when publicly disclosed.

LLM Comparison

Grok 4.6 vs GPT-5.6 Luna: benchmark scores, pricing & comparison.

Q: Which is better: Grok 4.6 or GPT-5.6 Luna?

AskClash compares Grok 4.6 and GPT-5.6 Luna side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side Grok 4.6 vs GPT-5.6 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.

Open live leaderboard Grok 4.6 model page GPT-5.6 Luna model page

Rank #5 vs #15AskClash overall scores 76.6 vs 64.9.

Pricing $2.00/$6.00 vs $1.00/$6.00Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryxAI vs OpenAI.

Grok 4.6 vs GPT-5.6 Luna benchmark comparison

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

Metric	Grok 4.6	GPT-5.6 Luna
Overall Score	76.6	64.9
Leaderboard Rank	#5	#15
RWT	9.0	9.5
Coding Agent Index	76.4	75.0
HLE	40.3	—
GPQA	94.9	92.3
SWE-Pro	64.7	62.7
SWE-Atlas	83.9	81.0
Terminal-Bench	88.4	84.7
DeepSWE	65.9	67.2
Finance Agent	48.3	55.0
MMMU-Pro	80.4	78.4
ARC-AGI 2	52.6	59.5
MRCR	—	41.3
Input Price (per 1M tokens)	$2.00	$1.00
Output Price (per 1M tokens)	$6.00	$6.00
Context Window	500K	1M
Benchmarks Published	13	13

Grok 4.6 vs GPT-5.6 Luna head-to-head charts

Grok 4.6 leads 7 and GPT-5.6 Luna leads 4 of 11 shared benchmarks. GPT-5.6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Grok 4.6GPT-5.6 Luna

Overall

76.6Grok 4.6

64.9GPT-5.6 Luna

RWT

9.0Grok 4.6

9.5GPT-5.6 Luna

Coding Agent Index

76.4Grok 4.6

75.0GPT-5.6 Luna

GPQA

94.9Grok 4.6

92.3GPT-5.6 Luna

SWE-Pro

64.7Grok 4.6

62.7GPT-5.6 Luna

SWE-Atlas

83.9Grok 4.6

81.0GPT-5.6 Luna

Terminal-Bench

88.4Grok 4.6

84.7GPT-5.6 Luna

DeepSWE

65.9Grok 4.6

67.2GPT-5.6 Luna

Finance Agent

48.3Grok 4.6

55.0GPT-5.6 Luna

MMMU-Pro

80.4Grok 4.6

78.4GPT-5.6 Luna

ARC-AGI 2

52.6Grok 4.6

59.5GPT-5.6 Luna

Grok 4.6

Input$2.00

Output$6.00

Workload$3.20

Context500K

GPT-5.6 Luna

Input$1.00

Output$6.00

Workload$2.20

Context1M

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

More Grok 4.6 and GPT-5.6 Luna comparisons

Explore how Grok 4.6 and GPT-5.6 Luna stack up against other top-ranked LLMs.

Claude Opus 5 vs Grok 4.6 Claude Opus 5 vs GPT-5.6 Luna Claude Fable 5 vs Grok 4.6 Claude Fable 5 vs GPT-5.6 Luna GPT-5.6 Sol vs Grok 4.6 GPT-5.6 Sol vs GPT-5.6 Luna Kimi K3 vs Grok 4.6 Kimi K3 vs GPT-5.6 Luna Grok 4.6 vs Qwen3.8 Max Qwen3.8 Max vs GPT-5.6 Luna

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.