LLM Comparison

GPT-5.5 vs Claude Sonnet 5: benchmark scores, pricing & comparison.

Side-by-side GPT-5.5 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.

Open live leaderboardGPT-5.5 model pageClaude Sonnet 5 model page
Rank #7 vs #9AskClash overall scores 76.9 vs 76.2.
Pricing $5.00/$30.0 vs $3.00/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Anthropic.

GPT-5.5 vs Claude Sonnet 5 benchmark comparison

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

MetricGPT-5.5Claude Sonnet 5
Overall Score76.976.2
Leaderboard Rank#7#9
RWT8.08.5
Coding Agent Index76.4—
HLE52.257.4
GPQA93.691.1
SWE-bench—85.2
SWE-Pro58.663.2
Terminal-Bench82.780.4
DeepSWE67.053.8
OSWorld78.781.2
MCP Atlas75.3—
Finance Agent51.8—
CharXiv—88.3
MMMU-Pro81.277.3
ARC-AGI 285.0—
Tau298.0—
Input Price (per 1M tokens)$5.00$3.00
Output Price (per 1M tokens)$30.0$15.0
Context Window1M1M
Benchmarks Published1311

GPT-5.5 vs Claude Sonnet 5 head-to-head charts

GPT-5.5 leads 5 and Claude Sonnet 5 leads 4 of 9 shared benchmarks. Claude Sonnet 5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.5Claude Sonnet 5
Overall
76.9GPT-5.5
76.2Claude Sonnet 5
RWT
8.0GPT-5.5
8.5Claude Sonnet 5
HLE
52.2GPT-5.5
57.4Claude Sonnet 5
GPQA
93.6GPT-5.5
91.1Claude Sonnet 5
SWE-Pro
58.6GPT-5.5
63.2Claude Sonnet 5
Terminal-Bench
82.7GPT-5.5
80.4Claude Sonnet 5
DeepSWE
67.0GPT-5.5
53.8Claude Sonnet 5
OSWorld
78.7GPT-5.5
81.2Claude Sonnet 5
MMMU-Pro
81.2GPT-5.5
77.3Claude Sonnet 5
GPT-5.5
Input$5.00
Output$30.0
Workload$11
Context1M
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 GPT-5.5 and Claude Sonnet 5 comparisons

Explore how GPT-5.5 and Claude Sonnet 5 stack up against other top-ranked LLMs.

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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.