LLM Comparison

Claude Opus 4.7 vs GPT-5.5: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 4.7 vs GPT-5.5 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 4.7 model pageGPT-5.5 model page
Rank #5 vs #7AskClash overall scores 77.1 vs 76.4.
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 4.7 vs GPT-5.5 benchmark comparison

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

MetricClaude Opus 4.7GPT-5.5
Overall Score77.176.4
Leaderboard Rank#5#7
RWT8.58.0
Coding Agent Index50.361.5
HLE54.752.2
GPQA94.293.6
SWE-bench87.6—
SWE-Pro64.358.6
Terminal-Bench69.482.7
DeepSWE—67.0
OSWorld78.078.7
MCP Atlas77.375.3
Finance Agent64.451.8
CharXiv91.0—
MMMU-Pro75.281.2
ARC-AGI 275.885.0
Tau288.698.0
Input Price (per 1M tokens)$5.00$5.00
Output Price (per 1M tokens)$25.0$30.0
Context Window1M1M
Benchmarks Published1414

Claude Opus 4.7 vs GPT-5.5 head-to-head charts

Claude Opus 4.7 leads 7 and GPT-5.5 leads 6 of 13 shared benchmarks. Claude Opus 4.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 4.7GPT-5.5
Overall
77.1Claude Opus 4.7
76.4GPT-5.5
RWT
8.5Claude Opus 4.7
8.0GPT-5.5
Coding Agent Index
50.3Claude Opus 4.7
61.5GPT-5.5
HLE
54.7Claude Opus 4.7
52.2GPT-5.5
GPQA
94.2Claude Opus 4.7
93.6GPT-5.5
SWE-Pro
64.3Claude Opus 4.7
58.6GPT-5.5
Terminal-Bench
69.4Claude Opus 4.7
82.7GPT-5.5
OSWorld
78.0Claude Opus 4.7
78.7GPT-5.5
MCP Atlas
77.3Claude Opus 4.7
75.3GPT-5.5
Finance Agent
64.4Claude Opus 4.7
51.8GPT-5.5
MMMU-Pro
75.2Claude Opus 4.7
81.2GPT-5.5
ARC-AGI 2
75.8Claude Opus 4.7
85.0GPT-5.5
Claude Opus 4.7
Input$5.00
Output$25.0
Workload$10
Context1M
GPT-5.5
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 4.7 and GPT-5.5 comparisons

Explore how Claude Opus 4.7 and GPT-5.5 stack up against other top-ranked LLMs.

Claude Opus 5 vs Claude Opus 4.7Claude Opus 5 vs GPT-5.5Claude Fable 5 vs Claude Opus 4.7Claude Fable 5 vs GPT-5.5GPT-5.6 Sol vs Claude Opus 4.7GPT-5.6 Sol vs GPT-5.5Claude Opus 4.8 vs Claude Opus 4.7Claude Opus 4.8 vs GPT-5.5Claude Opus 4.7 vs Kimi K3Kimi K3 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.