Compare · 2026-10-14

Claude Sonnet 5.5 vs GPT-5.6 Terra

As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in 9 of 9 shared categories: General LLM, Reasoning, Science, Coding, Coding › Agentic, Coding › Web dev, Long context, Vision, and Factuality.

CategoryClaude Sonnet 5.5GPT-5.6 Terra
General LLM
#27 · #27 in General LLM
Margin 18.367346938775512
LMArena leaderboard dataset · Oct 13, 2026
#35 · #35 in General LLM
Margin 23.80952380952381
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#18 · #18 in Reasoning
Margin 13.013698630136986
LMArena leaderboard dataset · Oct 13, 2026
#35 · #35 in Reasoning
Margin 24.657534246575338
LMArena leaderboard dataset · Oct 13, 2026
Math
#4 · #4 in Math
Margin 6.666666666666671
Epoch AI benchmarking hub · Sep 28, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
Science
#3 · #3 in Science
Margin —
Epoch AI benchmarking hub · Sep 28, 2026
#15 · #15 in Science
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Coding
#1 · Co-SOTA · Coding
Margin 0
Terminal-Bench Harbor Hub · Oct 6, 2026
#13 · #13 in Coding
Margin 63.63636363636363
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic
#1 · Co-SOTA · Coding › Agentic
Margin 0
Terminal-Bench Harbor Hub · Oct 6, 2026
#13 · #13 in Coding › Agentic
Margin 63.63636363636363
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Web dev
#3 · Near-SOTA · Coding › Web dev
Margin 1.8691588785046775
LMArena leaderboard dataset · Oct 13, 2026
#42 · #42 in Coding › Web dev
Margin 38.3177570093458
LMArena leaderboard dataset · Oct 13, 2026
Long context
#11 · #11 in Long context
Margin 7.482993197278915
LMArena leaderboard dataset · Oct 13, 2026
#46 · #46 in Long context
Margin 31.292517006802726
LMArena leaderboard dataset · Oct 13, 2026
Vision
#1 · Co-SOTA · Vision
Margin 0
Epoch AI benchmarking hub · Sep 28, 2026
#11 · #11 in Vision
Margin 31.578947368421055
Epoch AI benchmarking hub · Jul 9, 2026
Factuality
#16 · #16 in Factuality
Margin 12.68656716417911
LMArena leaderboard dataset · Oct 13, 2026
#24 · #24 in Factuality
Margin 18.656716417910445
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)—
#4 · #4 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Price per 1M tokens

Claude Sonnet 5.5: $4.000000000000001 per 1M blended tokens.

GPT-5.6 Terra: $4.5 per 1M blended tokens.

Open weights

Claude Sonnet 5.5: closed weights.

GPT-5.6 Terra: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in General LLM at #27 against #35.

Reasoning: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in Reasoning at #18 against #35.

Science: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in Science at #3 against #15.

Coding: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in Coding at #1 against #13.

Coding › Agentic: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in Coding › Agentic at #1 against #13.

Coding › Web dev: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in Coding › Web dev at #3 against #42.

Long context: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in Long context at #11 against #46.

Vision: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in Vision at #1 against #11.

Factuality: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in Factuality at #16 against #24.

Claude Sonnet 5.5 · GPT-5.6 Terra

Claude Sonnet 5.5 or GPT-5.6 Terra?

As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in 9 of 9 shared categories: General LLM, Reasoning, Science, Coding, Coding › Agentic, Coding › Web dev, Long context, Vision, and Factuality.

Claude Sonnet 5.5 or GPT-5.6 Terra for General LLM?

As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in General LLM at #27 against #35.

Claude Sonnet 5.5 or GPT-5.6 Terra for Reasoning?

As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in Reasoning at #18 against #35.

Claude Sonnet 5.5 or GPT-5.6 Terra for Science?

As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Terra in Science at #3 against #15.