LLM Comparison

Claude Sonnet 5.5 vs GPT-6.1 Sol (High): benchmark scores, pricing & comparison.

Side-by-side Claude Sonnet 5.5 vs GPT-6.1 Sol (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 (#3 vs #25) and wins 3 of 3 shared benchmarks.

Rank #3 vs #25AskClash overall scores 76.4 vs 63.8.
Pricing $2.00/$10.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.

Claude Sonnet 5.5 vs GPT-6.1 Sol (High) benchmark comparison

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

MetricClaude Sonnet 5.5GPT-6.1 Sol (High)
Overall Score76.463.8
Leaderboard Rank#3#25
ACB76.669.9
HLE64.551.4
SWE-Pro81.3—
Terminal-Bench63.6—
DeepSWE71.0—
GDPval-AA1844.21511.3
Finance Agent58.1—
MMMU-Pro—84.9
ARC-AGI 2—91.7
Input Price (per 1M tokens)$2.00—
Output Price (per 1M tokens)$10.0—
Context Window1M1.05M
Benchmarks Published108

Claude Sonnet 5.5 vs GPT-6.1 Sol (High) head-to-head charts

Claude Sonnet 5.5 leads 4 and GPT-6.1 Sol (High) leads 0 of 4 shared benchmarks. Charts show only benchmarks both models publish.

Claude Sonnet 5.5GPT-6.1 Sol (High)
Overall
76.4Claude Sonnet 5.5
63.8GPT-6.1 Sol (High)
ACB
76.6Claude Sonnet 5.5
69.9GPT-6.1 Sol (High)
HLE
64.5Claude Sonnet 5.5
51.4GPT-6.1 Sol (High)
GDPval-AA
1844.2Claude Sonnet 5.5
1511.3GPT-6.1 Sol (High)
Claude Sonnet 5.5
Input$2.00
Output$10.0
Workload$4.00
Context1M
GPT-6.1 Sol (High)
Input—
Output—
Workload—
Context1.05M

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

More Claude Sonnet 5.5 and GPT-6.1 Sol (High) comparisons

Explore how Claude Sonnet 5.5 and GPT-6.1 Sol (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.