Compare · 2026-10-14

Claude Haiku 4.5 vs GPT-5.6 Sol

As of Oct 14, 2026, Claude Haiku 4.5 leads GPT-5.6 Sol in 0 of 7 shared categories.

CategoryClaude Haiku 4.5GPT-5.6 Sol
General LLM
#104 · #104 in General LLM
Margin 70.74829931972789
LMArena leaderboard dataset · Oct 13, 2026
#17 · #17 in General LLM
Margin 11.564625850340136
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#91 · #91 in Reasoning
Margin 63.013698630136986
LMArena leaderboard dataset · Oct 13, 2026
#12 · #12 in Reasoning
Margin 8.904109589041099
LMArena leaderboard dataset · Oct 13, 2026
Math
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
Science
#109 · #109 in Science
Margin —
Epoch AI benchmarking hub · Oct 15, 2025
#13 · #13 in Science
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Coding
#— · Not enough data
Margin —
Scale Labs leaderboards · Oct 14, 2026
#9 · #9 in Coding
Margin 45.45454545454545
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic—
#9 · #9 in Coding › Agentic
Margin 45.45454545454545
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Web dev
#92 · #92 in Coding › Web dev
Margin 85.04672897196262
LMArena leaderboard dataset · Oct 13, 2026
#21 · Was SOTA · Coding › Web dev
Margin 18.691588785046733
LMArena leaderboard dataset · Oct 13, 2026
Long context
#84 · #84 in Long context
Margin 57.142857142857146
LMArena leaderboard dataset · Oct 13, 2026
#13 · #13 in Long context
Margin 8.84353741496598
LMArena leaderboard dataset · Oct 13, 2026
Vision—
#3 · Near-SOTA · Vision
Margin 10.526315789473685
Epoch AI benchmarking hub · Jul 9, 2026
Factuality
#97 · #97 in Factuality
Margin 73.13432835820896
LMArena leaderboard dataset · Oct 13, 2026
#14 · #14 in Factuality
Margin 11.194029850746276
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#78 · #78 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Oct 15, 2025
#3 · #3 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Price per 1M tokens

Claude Haiku 4.5: $2.0000000000000004 per 1M blended tokens.

GPT-5.6 Sol: $4.000000000000001 per 1M blended tokens.

Open weights

Claude Haiku 4.5: closed weights.

GPT-5.6 Sol: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, GPT-5.6 Sol leads Claude Haiku 4.5 in General LLM at #17 against #104.

Reasoning: As of Oct 14, 2026, GPT-5.6 Sol leads Claude Haiku 4.5 in Reasoning at #12 against #91.

Science: As of Oct 14, 2026, GPT-5.6 Sol leads Claude Haiku 4.5 in Science at #13 against #109.

Coding › Web dev: As of Oct 14, 2026, GPT-5.6 Sol leads Claude Haiku 4.5 in Coding › Web dev at #21 against #92.

Long context: As of Oct 14, 2026, GPT-5.6 Sol leads Claude Haiku 4.5 in Long context at #13 against #84.

Factuality: As of Oct 14, 2026, GPT-5.6 Sol leads Claude Haiku 4.5 in Factuality at #14 against #97.

Abstraction (ARC): As of Oct 14, 2026, GPT-5.6 Sol leads Claude Haiku 4.5 in Abstraction (ARC) at #3 against #78.

Claude Haiku 4.5 · GPT-5.6 Sol

Claude Haiku 4.5 or GPT-5.6 Sol?

As of Oct 14, 2026, Claude Haiku 4.5 leads GPT-5.6 Sol in 0 of 7 shared categories.

Claude Haiku 4.5 or GPT-5.6 Sol for General LLM?

As of Oct 14, 2026, GPT-5.6 Sol leads Claude Haiku 4.5 in General LLM at #17 against #104.

Claude Haiku 4.5 or GPT-5.6 Sol for Reasoning?

As of Oct 14, 2026, GPT-5.6 Sol leads Claude Haiku 4.5 in Reasoning at #12 against #91.

Claude Haiku 4.5 or GPT-5.6 Sol for Science?

As of Oct 14, 2026, GPT-5.6 Sol leads Claude Haiku 4.5 in Science at #13 against #109.