LLM Comparison

Claude Sonnet 5.5 vs Claude Opus 5 (Max): benchmark scores, pricing & comparison.

Side-by-side Claude Sonnet 5.5 vs Claude Opus 5 (Max) 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 (#3 vs #18) and wins 3 of 3 shared benchmarks.

Rank #3 vs #18AskClash overall scores 76.4 vs 65.1.
Pricing $2.00/$10.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Anthropic.

Claude Sonnet 5.5 vs Claude Opus 5 (Max) benchmark comparison

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

MetricClaude Sonnet 5.5Claude Opus 5 (Max)
Overall Score76.465.1
Leaderboard Rank#3#18
ACB76.670.5
RWT—9.0
HLE64.554.9
GPQA—93.2
SWE-Pro81.3—
Terminal-Bench63.6—
DeepSWE71.0—
GDPval-AA1844.21721.2
Finance Agent58.1—
MMMU-Pro—84.7
ARC-AGI 2—90.4
Input Price (per 1M tokens)$2.00—
Output Price (per 1M tokens)$10.0—
Context Window1M1M
Benchmarks Published109

Claude Sonnet 5.5 vs Claude Opus 5 (Max) head-to-head charts

Claude Sonnet 5.5 leads 4 and Claude Opus 5 (Max) leads 0 of 4 shared benchmarks. Charts show only benchmarks both models publish.

Claude Sonnet 5.5Claude Opus 5 (Max)
Overall
76.4Claude Sonnet 5.5
65.1Claude Opus 5 (Max)
ACB
76.6Claude Sonnet 5.5
70.5Claude Opus 5 (Max)
HLE
64.5Claude Sonnet 5.5
54.9Claude Opus 5 (Max)
GDPval-AA
1844.2Claude Sonnet 5.5
1721.2Claude Opus 5 (Max)
Claude Sonnet 5.5
Input$2.00
Output$10.0
Workload$4.00
Context1M
Claude Opus 5 (Max)
Input—
Output—
Workload—
Context1M

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

More Claude Sonnet 5.5 and Claude Opus 5 (Max) comparisons

Explore how Claude Sonnet 5.5 and Claude Opus 5 (Max) 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.