LLM Comparison

Claude Sonnet 5.5 vs GPT-6 Sol: benchmark scores, pricing & comparison.

Side-by-side Claude Sonnet 5.5 vs GPT-6 Sol 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 (#6 vs #29) and wins 5 of 6 shared benchmarks.

Rank #6 vs #29AskClash overall scores 73.7 vs 58.8.
Pricing $2.00/$10.0 vs $2.00/$10.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.

Claude Sonnet 5.5 vs GPT-6 Sol 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 Sol
Overall Score73.758.8
Leaderboard Rank#6#29
ACB76.655.8
Coding Agent Index—56.7
HLE64.547.9
SWE-Pro81.3—
SWE-Atlas—57.5
Terminal-Bench83.283.2
DeepSWE71.068.8
GDPval-AA1844.21486.9
Finance Agent58.149.0
MMMU-Pro—83.3
Input Price (per 1M tokens)$2.00$2.00
Output Price (per 1M tokens)$10.0$10.0
Context Window1M1.05M
Benchmarks Published1012

Claude Sonnet 5.5 vs GPT-6 Sol head-to-head charts

Claude Sonnet 5.5 leads 6 and GPT-6 Sol leads 0 of 7 shared benchmarks. Charts show only benchmarks both models publish.

Claude Sonnet 5.5GPT-6 Sol
Overall
73.7Claude Sonnet 5.5
58.8GPT-6 Sol
ACB
76.6Claude Sonnet 5.5
55.8GPT-6 Sol
HLE
64.5Claude Sonnet 5.5
47.9GPT-6 Sol
Terminal-Bench
83.2Claude Sonnet 5.5
83.2GPT-6 Sol
DeepSWE
71.0Claude Sonnet 5.5
68.8GPT-6 Sol
GDPval-AA
1844.2Claude Sonnet 5.5
1486.9GPT-6 Sol
Finance Agent
58.1Claude Sonnet 5.5
49.0GPT-6 Sol
Claude Sonnet 5.5
Input$2.00
Output$10.0
Workload$4.00
Context1M
GPT-6 Sol
Input$2.00
Output$10.0
Workload$4.00
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 Sol comparisons

Explore how Claude Sonnet 5.5 and GPT-6 Sol 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.