LLM Comparison

Claude Opus 5 vs Claude Opus 4.7: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5 vs Claude Opus 4.7 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 #5AskClash overall scores 94.2 vs 77.1.
Pricing $5.00/$25.0 vs $5.00/$25.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Anthropic.

Claude Opus 5 vs Claude Opus 4.7 benchmark comparison

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

MetricClaude Opus 5Claude Opus 4.7
Overall Score94.277.1
Leaderboard Rank#1#5
RWT9.08.5
Coding Agent Index50.3
HLE64.754.7
GPQA94.2
SWE-bench96.087.6
SWE-Pro79.264.3
Terminal-Bench69.4
DeepSWE68.8
OSWorld78.0
MCP Atlas85.877.3
Finance Agent64.4
CharXiv91.0
MMMU-Pro75.2
ARC-AGI 290.475.8
Tau288.6
Input Price (per 1M tokens)$5.00$5.00
Output Price (per 1M tokens)$25.0$25.0
Context Window1M1M
Benchmarks Published814

Claude Opus 5 vs Claude Opus 4.7 head-to-head charts

Claude Opus 5 leads 7 and Claude Opus 4.7 leads 0 of 7 shared benchmarks. Charts show only benchmarks both models publish.

Claude Opus 5Claude Opus 4.7
Overall
94.2Claude Opus 5
77.1Claude Opus 4.7
RWT
9.0Claude Opus 5
8.5Claude Opus 4.7
HLE
64.7Claude Opus 5
54.7Claude Opus 4.7
SWE-bench
96.0Claude Opus 5
87.6Claude Opus 4.7
SWE-Pro
79.2Claude Opus 5
64.3Claude Opus 4.7
MCP Atlas
85.8Claude Opus 5
77.3Claude Opus 4.7
ARC-AGI 2
90.4Claude Opus 5
75.8Claude Opus 4.7
Claude Opus 5
Input$5.00
Output$25.0
Workload$10
Context1M
Claude Opus 4.7
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 and Claude Opus 4.7 comparisons

Explore how Claude Opus 5 and Claude Opus 4.7 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.