LLM Comparison

Grok 4.5 vs Claude Sonnet 5: benchmark scores, pricing & comparison.

Side-by-side Grok 4.5 vs Claude Sonnet 5 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 #5 vs #9AskClash overall scores 78.3 vs 76.2.
Pricing $2.00/$6.00 vs $3.00/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryxAI vs Anthropic.

Grok 4.5 vs Claude Sonnet 5 benchmark comparison

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

MetricGrok 4.5Claude Sonnet 5
Overall Score78.376.2
Leaderboard Rank#5#9
RWT9.08.5
Coding Agent Index76.4
HLE40.357.4
GPQA93.191.1
SWE-bench85.2
SWE-Pro64.763.2
SWE-Atlas83.9
Terminal-Bench83.380.4
DeepSWE53.8
OSWorld81.2
CharXiv88.3
MMMU-Pro80.477.3
Input Price (per 1M tokens)$2.00$3.00
Output Price (per 1M tokens)$6.00$15.0
Context Window500K1M
Benchmarks Published911

Grok 4.5 vs Claude Sonnet 5 head-to-head charts

Grok 4.5 leads 6 and Claude Sonnet 5 leads 1 of 7 shared benchmarks. Grok 4.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Grok 4.5Claude Sonnet 5
Overall
78.3Grok 4.5
76.2Claude Sonnet 5
RWT
9.0Grok 4.5
8.5Claude Sonnet 5
HLE
40.3Grok 4.5
57.4Claude Sonnet 5
GPQA
93.1Grok 4.5
91.1Claude Sonnet 5
SWE-Pro
64.7Grok 4.5
63.2Claude Sonnet 5
Terminal-Bench
83.3Grok 4.5
80.4Claude Sonnet 5
MMMU-Pro
80.4Grok 4.5
77.3Claude Sonnet 5
Grok 4.5
Input$2.00
Output$6.00
Workload$3.20
Context500K
Claude Sonnet 5
Input$3.00
Output$15.0
Workload$6.00
Context1M

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

More Grok 4.5 and Claude Sonnet 5 comparisons

Explore how Grok 4.5 and Claude Sonnet 5 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.