LLM Comparison

Claude Opus 5.5 vs Claude Opus 4.8: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5.5 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 leaderboardClaude Opus 5.5 model pageClaude Opus 4.8 model page
Rank #3 vs #8AskClash overall scores 74.5 vs 67.6.
Pricing $4.00/$20.0 vs $5.00/$25.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Anthropic.

Claude Opus 5.5 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.

MetricClaude Opus 5.5Claude Opus 4.8
Overall Score74.567.6
Leaderboard Rank#3#8
ACB76.560.1
RWT—9.0
Coding Agent Index—72.5
HLE67.757.9
GPQA—93.6
IFEval—62.2
SWE-bench—88.6
SWE-Pro89.969.2
SWE-Atlas—82.5
Terminal-Bench87.674.6
DeepSWE74.259.0
GDPval-AA1846.21889.8
OSWorld—83.4
MCP Atlas—82.2
Finance Agent58.653.9
CharXiv—89.9
MMMU-Pro87.7—
ARC-AGI 2—72.1
Tau2—94.4
Input Price (per 1M tokens)$4.00$5.00
Output Price (per 1M tokens)$20.0$25.0
Context Window1M1M
Benchmarks Published918

Claude Opus 5.5 vs Claude Opus 4.8 head-to-head charts

Claude Opus 5.5 leads 7 and Claude Opus 4.8 leads 1 of 8 shared benchmarks. Claude Opus 5.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5.5Claude Opus 4.8
Overall
74.5Claude Opus 5.5
67.6Claude Opus 4.8
ACB
76.5Claude Opus 5.5
60.1Claude Opus 4.8
HLE
67.7Claude Opus 5.5
57.9Claude Opus 4.8
SWE-Pro
89.9Claude Opus 5.5
69.2Claude Opus 4.8
Terminal-Bench
87.6Claude Opus 5.5
74.6Claude Opus 4.8
DeepSWE
74.2Claude Opus 5.5
59.0Claude Opus 4.8
GDPval-AA
1846.2Claude Opus 5.5
1889.8Claude Opus 4.8
Finance Agent
58.6Claude Opus 5.5
53.9Claude Opus 4.8
Claude Opus 5.5
Input$4.00
Output$20.0
Workload$8.00
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 Claude Opus 5.5 and Claude Opus 4.8 comparisons

Explore how Claude Opus 5.5 and Claude Opus 4.8 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs Claude Opus 5.5Claude Fable 5.1 vs Claude Opus 4.8Claude Fable 5 vs Claude Opus 5.5Claude Fable 5 vs Claude Opus 4.8Claude Opus 5.5 vs Claude Opus 5Claude Opus 5 vs Claude Opus 4.8Claude Opus 5.5 vs GPT-5.6 SolGPT-5.6 Sol vs Claude Opus 4.8Claude Opus 5.5 vs Qwen3.8 MaxQwen3.8 Max vs Claude Opus 4.8

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.