LLM Comparison

Claude Sonnet 5.5 vs Claude Sonnet 5.5 (High): benchmark scores, pricing & comparison.

Side-by-side Claude Sonnet 5.5 vs Claude Sonnet 5.5 (High) 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.

Verdict: Claude Sonnet 5.5 ranks higher (#4 vs #30) and wins 2 of 3 shared benchmarks.

Rank #4 vs #30AskClash overall scores 76.0 vs 62.9.
Pricing $2.00/$10.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs AI modelAnthropic vs Anthropic.

Claude Sonnet 5.5 vs Claude Sonnet 5.5 (High) benchmark comparison

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

MetricClaude Sonnet 5.5Claude Sonnet 5.5 (High)
Overall Score76.062.9
Leaderboard Rank#4#30
ACB76.676.6
HLE64.545.8
SWE-Pro81.3—
Terminal-Bench63.6—
DeepSWE71.0—
GDPval-AA1844.21547.6
Finance Agent58.1—
ARC-AGI 2—67.4
Input Price (per 1M tokens)$2.00—
Output Price (per 1M tokens)$10.0—
Context Window1M—
Benchmarks Published107

Claude Sonnet 5.5 vs Claude Sonnet 5.5 (High) head-to-head charts

Claude Sonnet 5.5 leads 3 and Claude Sonnet 5.5 (High) leads 0 of 4 shared benchmarks. Charts show only benchmarks both models publish.

Claude Sonnet 5.5Claude Sonnet 5.5 (High)
Overall
76.0Claude Sonnet 5.5
62.9Claude Sonnet 5.5 (High)
ACB
76.6Claude Sonnet 5.5
76.6Claude Sonnet 5.5 (High)
HLE
64.5Claude Sonnet 5.5
45.8Claude Sonnet 5.5 (High)
GDPval-AA
1844.2Claude Sonnet 5.5
1547.6Claude Sonnet 5.5 (High)
Claude Sonnet 5.5
Input$2.00
Output$10.0
Workload$4.00
Context1M
Claude Sonnet 5.5 (High)
Input—
Output—
Workload—
Context—

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

More Claude Sonnet 5.5 and Claude Sonnet 5.5 (High) comparisons

Explore how Claude Sonnet 5.5 and Claude Sonnet 5.5 (High) 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.