LLM Comparison

Grok 4.6 vs Grok 4.7: benchmark scores, pricing & comparison.

Side-by-side Grok 4.6 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.

Rank #15 vs #21AskClash overall scores 64.2 vs 61.7.
Pricing $2.00/$6.00 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryxAI vs xAI.

Grok 4.6 vs Grok 4.7 benchmark comparison

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

MetricGrok 4.6Grok 4.7
Overall Score64.261.7
Leaderboard Rank#15#21
ACB69.066.4
RWT9.0
Coding Agent Index47.056.0
HLE42.943.1
GPQA94.9
SWE-Atlas58.063.0
Terminal-Bench88.476.0
DeepSWE65.073.0
GDPval-AA1605.51695.2
Finance Agent53.749.2
Input Price (per 1M tokens)$2.00$2.00
Output Price (per 1M tokens)$6.00$6.00
Context Window500K500K
Benchmarks Published109

Grok 4.6 vs Grok 4.7 head-to-head charts

Grok 4.6 leads 4 and Grok 4.7 leads 5 of 9 shared benchmarks. Charts show only benchmarks both models publish.

Grok 4.6Grok 4.7
Overall
64.2Grok 4.6
61.7Grok 4.7
ACB
69.0Grok 4.6
66.4Grok 4.7
Coding Agent Index
47.0Grok 4.6
56.0Grok 4.7
HLE
42.9Grok 4.6
43.1Grok 4.7
SWE-Atlas
58.0Grok 4.6
63.0Grok 4.7
Terminal-Bench
88.4Grok 4.6
76.0Grok 4.7
DeepSWE
65.0Grok 4.6
73.0Grok 4.7
GDPval-AA
1605.5Grok 4.6
1695.2Grok 4.7
Finance Agent
53.7Grok 4.6
49.2Grok 4.7
Grok 4.6
Input$2.00
Output$6.00
Workload$3.20
Context500K
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 Grok 4.6 and Grok 4.7 comparisons

Explore how Grok 4.6 and Grok 4.7 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.