LLM Comparison

GPT-5.6 Sol vs Claude Opus 4.8: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Sol vs Claude Opus 4.8 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-5.6 Sol model pageClaude Opus 4.8 model page
Rank #2 vs #4AskClash overall scores 85.6 vs 80.2.
Pricing $5.00/$30.0 vs $5.00/$25.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Anthropic.

GPT-5.6 Sol vs Claude Opus 4.8 benchmark comparison

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

MetricGPT-5.6 SolClaude Opus 4.8
Overall Score85.680.2
Leaderboard Rank#2#4
RWT9.59.0
Coding Agent Index80.072.5
HLE47.257.9
GPQA94.193.6
IFEval—62.2
SWE-bench—88.6
SWE-Pro64.669.2
SWE-Atlas84.082.5
Terminal-Bench88.874.6
DeepSWE72.759.0
OSWorld—83.4
MCP Atlas—82.2
Finance Agent53.853.9
CharXiv—89.9
MMMU-Pro83.0—
ARC-AGI 292.572.1
Tau285.194.4
MRCR91.5—
Input Price (per 1M tokens)$5.00$5.00
Output Price (per 1M tokens)$30.0$25.0
Context Window1M1M
Benchmarks Published1417

GPT-5.6 Sol vs Claude Opus 4.8 head-to-head charts

GPT-5.6 Sol leads 8 and Claude Opus 4.8 leads 4 of 12 shared benchmarks. Claude Opus 4.8 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolClaude Opus 4.8
Overall
85.6GPT-5.6 Sol
80.2Claude Opus 4.8
RWT
9.5GPT-5.6 Sol
9.0Claude Opus 4.8
Coding Agent Index
80.0GPT-5.6 Sol
72.5Claude Opus 4.8
HLE
47.2GPT-5.6 Sol
57.9Claude Opus 4.8
GPQA
94.1GPT-5.6 Sol
93.6Claude Opus 4.8
SWE-Pro
64.6GPT-5.6 Sol
69.2Claude Opus 4.8
SWE-Atlas
84.0GPT-5.6 Sol
82.5Claude Opus 4.8
Terminal-Bench
88.8GPT-5.6 Sol
74.6Claude Opus 4.8
DeepSWE
72.7GPT-5.6 Sol
59.0Claude Opus 4.8
Finance Agent
53.8GPT-5.6 Sol
53.9Claude Opus 4.8
ARC-AGI 2
92.5GPT-5.6 Sol
72.1Claude Opus 4.8
Tau2
85.1GPT-5.6 Sol
94.4Claude Opus 4.8
GPT-5.6 Sol
Input$5.00
Output$30.0
Workload$11
Context1M
Claude Opus 4.8
Input$5.00
Output$25.0
Workload$10
Context1M

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

More GPT-5.6 Sol and Claude Opus 4.8 comparisons

Explore how GPT-5.6 Sol and Claude Opus 4.8 stack up against other top-ranked LLMs.

Claude Fable 5 vs GPT-5.6 SolClaude Fable 5 vs Claude Opus 4.8GPT-5.6 Sol vs Kimi K3Kimi K3 vs Claude Opus 4.8GPT-5.6 Sol vs Grok 4.5Claude Opus 4.8 vs Grok 4.5GPT-5.6 Sol vs Muse Spark 1.1Claude Opus 4.8 vs Muse Spark 1.1GPT-5.6 Sol vs GPT-5.5Claude Opus 4.8 vs GPT-5.5

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.