LLM Comparison

Claude Opus 5 vs GPT-5.4: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5 vs GPT-5.4 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 #14AskClash overall scores 95.4 vs 64.7.
Pricing $5.00/$25.0 vs $2.50/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.

Claude Opus 5 vs GPT-5.4 benchmark comparison

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

MetricClaude Opus 5GPT-5.4
Overall Score95.464.7
Leaderboard Rank#1#14
RWT9.08.0
Coding Agent Index78.039.1
HLE64.752.1
GPQA93.292.8
SWE-bench96.0
SWE-Pro79.257.7
Terminal-Bench89.175.1
DeepSWE73.651.8
OSWorld75.0
MCP Atlas85.870.6
CharXiv82.8
MMMU-Pro84.781.2
ARC-AGI 290.474.0
Tau298.9
MRCR97.3
Input Price (per 1M tokens)$5.00$2.50
Output Price (per 1M tokens)$25.0$15.0
Context Window1M1M
Benchmarks Published1315

Claude Opus 5 vs GPT-5.4 head-to-head charts

Claude Opus 5 leads 11 and GPT-5.4 leads 0 of 11 shared benchmarks. GPT-5.4 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5GPT-5.4
Overall
95.4Claude Opus 5
64.7GPT-5.4
RWT
9.0Claude Opus 5
8.0GPT-5.4
Coding Agent Index
78.0Claude Opus 5
39.1GPT-5.4
HLE
64.7Claude Opus 5
52.1GPT-5.4
GPQA
93.2Claude Opus 5
92.8GPT-5.4
SWE-Pro
79.2Claude Opus 5
57.7GPT-5.4
Terminal-Bench
89.1Claude Opus 5
75.1GPT-5.4
DeepSWE
73.6Claude Opus 5
51.8GPT-5.4
MCP Atlas
85.8Claude Opus 5
70.6GPT-5.4
MMMU-Pro
84.7Claude Opus 5
81.2GPT-5.4
ARC-AGI 2
90.4Claude Opus 5
74.0GPT-5.4
Claude Opus 5
Input$5.00
Output$25.0
Workload$10
Context1M
GPT-5.4
Input$2.50
Output$15.0
Workload$5.50
Context1M

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

More Claude Opus 5 and GPT-5.4 comparisons

Explore how Claude Opus 5 and GPT-5.4 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.