LLM Comparison

Claude Opus 5.5 vs GPT-6.1 Terra: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5.5 vs GPT-6.1 Terra 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.

Verdict: Claude Opus 5.5 ranks higher (#2 vs #35) and wins 5 of 5 shared benchmarks; GPT-6.1 Terra costs less ($1.00/$5.00 vs $4.00/$20.0 per 1M tokens).

Rank #2 vs #35AskClash overall scores 78.6 vs 61.7.
Pricing $4.00/$20.0 vs $1.00/$5.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.

Claude Opus 5.5 vs GPT-6.1 Terra benchmark comparison

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

MetricClaude Opus 5.5GPT-6.1 Terra
Overall Score78.661.7
Leaderboard Rank#2#35
ACB76.562.1
HLE67.746.2
SWE-Pro89.9—
Terminal-Bench59.655.6
DeepSWE74.2—
GDPval-AA1846.21467.6
Finance Agent58.6—
MMMU-Pro87.784.7
Input Price (per 1M tokens)$4.00$1.00
Output Price (per 1M tokens)$20.0$5.00
Context Window1M1.05M
Benchmarks Published118

Claude Opus 5.5 vs GPT-6.1 Terra head-to-head charts

Claude Opus 5.5 leads 6 and GPT-6.1 Terra leads 0 of 6 shared benchmarks. GPT-6.1 Terra is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5.5GPT-6.1 Terra
Overall
78.6Claude Opus 5.5
61.7GPT-6.1 Terra
ACB
76.5Claude Opus 5.5
62.1GPT-6.1 Terra
HLE
67.7Claude Opus 5.5
46.2GPT-6.1 Terra
Terminal-Bench
59.6Claude Opus 5.5
55.6GPT-6.1 Terra
GDPval-AA
1846.2Claude Opus 5.5
1467.6GPT-6.1 Terra
MMMU-Pro
87.7Claude Opus 5.5
84.7GPT-6.1 Terra
Claude Opus 5.5
Input$4.00
Output$20.0
Workload$8.00
Context1M
GPT-6.1 Terra
Input$1.00
Output$5.00
Workload$2.00
Context1.05M

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

More Claude Opus 5.5 and GPT-6.1 Terra comparisons

Explore how Claude Opus 5.5 and GPT-6.1 Terra 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.