LLM Comparison

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

Side-by-side Grok 4.6 vs GPT-5.6 Sol 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 #3 vs #4AskClash overall scores 78.9 vs 78.9.
Pricing $2.00/$6.00 vs $5.00/$30.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryxAI vs OpenAI.

Grok 4.6 vs GPT-5.6 Sol benchmark comparison

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

MetricGrok 4.6GPT-5.6 Sol
Overall Score78.978.9
Leaderboard Rank#3#4
ACB69.063.2
RWT9.09.5
Coding Agent Index76.480.0
HLE40.347.2
GPQA94.994.1
SWE-Pro64.764.6
SWE-Atlas83.984.0
Terminal-Bench88.488.8
DeepSWE65.972.7
Finance Agent53.753.8
MMMU-Pro80.483.0
ARC-AGI 252.692.5
Tau285.1
MRCR91.5
Input Price (per 1M tokens)$2.00$5.00
Output Price (per 1M tokens)$6.00$30.0
Context Window500K1M
Benchmarks Published1315

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

Grok 4.6 leads 4 and GPT-5.6 Sol leads 9 of 13 shared benchmarks. Grok 4.6 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Grok 4.6GPT-5.6 Sol
Overall
78.9Grok 4.6
78.9GPT-5.6 Sol
ACB
69.0Grok 4.6
63.2GPT-5.6 Sol
RWT
9.0Grok 4.6
9.5GPT-5.6 Sol
Coding Agent Index
76.4Grok 4.6
80.0GPT-5.6 Sol
HLE
40.3Grok 4.6
47.2GPT-5.6 Sol
GPQA
94.9Grok 4.6
94.1GPT-5.6 Sol
SWE-Pro
64.7Grok 4.6
64.6GPT-5.6 Sol
SWE-Atlas
83.9Grok 4.6
84.0GPT-5.6 Sol
Terminal-Bench
88.4Grok 4.6
88.8GPT-5.6 Sol
DeepSWE
65.9Grok 4.6
72.7GPT-5.6 Sol
Finance Agent
53.7Grok 4.6
53.8GPT-5.6 Sol
MMMU-Pro
80.4Grok 4.6
83.0GPT-5.6 Sol
Grok 4.6
Input$2.00
Output$6.00
Workload$3.20
Context500K
GPT-5.6 Sol
Input$5.00
Output$30.0
Workload$11
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 Sol comparisons

Explore how Grok 4.6 and GPT-5.6 Sol 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.