Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
Claude Sonnet 5.5 vs GPT-5.6 Terra: benchmark scores, pricing & comparison.
Side-by-side Claude Sonnet 5.5 vs GPT-5.6 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 Sonnet 5.5 ranks higher (#3 vs #24) and wins 7 of 7 shared benchmarks; Claude Sonnet 5.5 costs less ($2.00/$10.0 vs $2.50/$15.0 per 1M tokens).
Rank #3 vs #24AskClash overall scores 77.7 vs 53.8.
Pricing $2.00/$10.0 vs $2.50/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.
Claude Sonnet 5.5 vs GPT-5.6 Terra benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | Claude Sonnet 5.5 | GPT-5.6 Terra |
|---|---|---|
| Overall Score | 77.7 | 53.8 |
| Leaderboard Rank | #3 | #24 |
| ACB | 76.6 | 56.4 |
| AA Intelligence Index | 56.0 | 42.3 |
| AutomationBench-AA | 71.8 | — |
| RWT | — | 8.5 |
| Coding Agent Index | 59.3 | — |
| HLE | 64.5 | — |
| GPQA | 95.6 | 92.9 |
| SWE-Pro | 81.3 | 63.4 |
| SWE-Atlas | 64.2 | — |
| Terminal-Bench 4.0 | 63.6 | 35.4 |
| DeepSWE | 71.0 | 69.6 |
| GDPval-AA | 1837.8 | 1593.0 |
| Finance Agent v2.1 | 67.3 | — |
| MMMU-Pro | — | 80.7 |
| ARC-AGI 2 | — | 83.9 |
| MRCR | — | 89.6 |
| Input Price (per 1M tokens) | $2.00 | $2.50 |
| Output Price (per 1M tokens) | $10.0 | $15.0 |
| Context Window | 1M | 1M |
| Benchmarks Published | 13 | 9 |
Claude Sonnet 5.5 vs GPT-5.6 Terra head-to-head charts
Claude Sonnet 5.5 leads 7 and GPT-5.6 Terra leads 0 of 7 shared benchmarks. Claude Sonnet 5.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Claude Sonnet 5.5GPT-5.6 Terra
Overall
ACB
AA Intelligence Index
GPQA
SWE-Pro
Terminal-Bench 4.0
DeepSWE
GDPval-AA
Claude Sonnet 5.5
Input$2.00
Output$10.0
Workload$4.00
Context1M
GPT-5.6 Terra
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 Sonnet 5.5 and GPT-5.6 Terra comparisons
Explore how Claude Sonnet 5.5 and GPT-5.6 Terra stack up against other top-ranked LLMs.
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How to read this comparison
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.