LLM Comparison

GPT-5.6 Terra vs Claude Opus 4.7: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Terra 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 #5 vs #8AskClash overall scores 77.4 vs 75.3.
Pricing $2.50/$15.0 vs $5.00/$25.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Anthropic.

GPT-5.6 Terra 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.

MetricGPT-5.6 TerraClaude Opus 4.7
Overall Score77.475.3
Leaderboard Rank#5#8
RWT9.08.5
Coding Agent Index77.065.0
HLE54.7
GPQA92.994.2
SWE-bench87.6
SWE-Pro63.464.3
SWE-Atlas81.0
Terminal-Bench87.469.4
DeepSWE69.6
OSWorld78.0
MCP Atlas77.3
Finance Agent52.464.4
CharXiv91.0
MMMU-Pro80.775.2
ARC-AGI 283.975.8
Tau286.388.6
MRCR89.6
Input Price (per 1M tokens)$2.50$5.00
Output Price (per 1M tokens)$15.0$25.0
Context Window1M1M
Benchmarks Published1314

More GPT-5.6 Terra and Claude Opus 4.7 comparisons

Explore how GPT-5.6 Terra 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.