LLM Comparison

Claude Opus 5 vs GPT-5.6 Sol: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5 vs GPT-5.6 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.

Rank #1 vs #3AskClash overall scores 94.2 vs 84.9.
Pricing $5.00/$25.0 vs $5.00/$30.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.

Claude Opus 5 vs GPT-5.6 Sol benchmark comparison

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

MetricClaude Opus 5GPT-5.6 Sol
Overall Score94.284.9
Leaderboard Rank#1#3
RWT9.09.5
Coding Agent Index80.0
HLE64.747.2
GPQA94.1
SWE-bench96.0
SWE-Pro79.264.6
SWE-Atlas84.0
Terminal-Bench88.8
DeepSWE68.872.7
MCP Atlas85.8
Finance Agent53.8
MMMU-Pro83.0
ARC-AGI 290.492.5
Tau285.1
MRCR91.5
Input Price (per 1M tokens)$5.00$5.00
Output Price (per 1M tokens)$25.0$30.0
Context Window1M1M
Benchmarks Published815

Claude Opus 5 vs GPT-5.6 Sol head-to-head charts

Claude Opus 5 leads 3 and GPT-5.6 Sol leads 3 of 6 shared benchmarks. Claude Opus 5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5GPT-5.6 Sol
Overall
94.2Claude Opus 5
84.9GPT-5.6 Sol
RWT
9.0Claude Opus 5
9.5GPT-5.6 Sol
HLE
64.7Claude Opus 5
47.2GPT-5.6 Sol
SWE-Pro
79.2Claude Opus 5
64.6GPT-5.6 Sol
DeepSWE
68.8Claude Opus 5
72.7GPT-5.6 Sol
ARC-AGI 2
90.4Claude Opus 5
92.5GPT-5.6 Sol
Claude Opus 5
Input$5.00
Output$25.0
Workload$10
Context1M
GPT-5.6 Sol
Input$5.00
Output$30.0
Workload$11
Context1M

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

More Claude Opus 5 and GPT-5.6 Sol comparisons

Explore how Claude Opus 5 and GPT-5.6 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.