Compare · 2026-10-14

GPT-5.4 vs GPT-5.6 Luna

As of Oct 14, 2026, GPT-5.4 leads GPT-5.6 Luna in 6 of 7 shared categories: General LLM, Reasoning, Science, Long context, Factuality, and Abstraction (ARC).

CategoryGPT-5.4GPT-5.6 Luna
General LLM
#28 · Was SOTA · General LLM
Margin 19.04761904761905
LMArena leaderboard dataset · Oct 13, 2026
#53 · #53 in General LLM
Margin 36.054421768707485
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#29 · #29 in Reasoning
Margin 20.54794520547945
LMArena leaderboard dataset · Oct 13, 2026
#55 · #55 in Reasoning
Margin 38.35616438356164
LMArena leaderboard dataset · Oct 13, 2026
Math
#9 · #9 in Math
Margin 17.777777777777757
Epoch AI benchmarking hub · Mar 5, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
Science
#16 · #16 in Science
Margin —
Epoch AI benchmarking hub · Mar 5, 2026
#25 · #25 in Science
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Coding
#— · Not enough data
Margin —
Epoch AI benchmarking hub · Mar 5, 2026
#16 · #16 in Coding
Margin 77.27272727272728
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic—
#16 · #16 in Coding › Agentic
Margin 77.27272727272728
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Web dev
#55 · #55 in Coding › Web dev
Margin 50.467289719626166
LMArena leaderboard dataset · Oct 13, 2026
#43 · #43 in Coding › Web dev
Margin 39.25233644859813
LMArena leaderboard dataset · Oct 13, 2026
Long context
#34 · #34 in Long context
Margin 23.12925170068027
LMArena leaderboard dataset · Oct 13, 2026
#65 · #65 in Long context
Margin 44.21768707482993
LMArena leaderboard dataset · Oct 13, 2026
Vision
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 9, 2026
#19 · #19 in Vision
Margin 52.63157894736842
Epoch AI benchmarking hub · Jul 9, 2026
Factuality
#6 · Was SOTA · Factuality
Margin 5.22388059701494
LMArena leaderboard dataset · Oct 13, 2026
#35 · #35 in Factuality
Margin 26.86567164179104
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#10 · #10 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Mar 5, 2026
#19 · #19 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Price per 1M tokens

GPT-5.4: $5.625 per 1M blended tokens.

GPT-5.6 Luna: $0.44999999999999996 per 1M blended tokens.

Open weights

GPT-5.4: closed weights.

GPT-5.6 Luna: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, GPT-5.4 leads GPT-5.6 Luna in General LLM at #28 against #53.

Reasoning: As of Oct 14, 2026, GPT-5.4 leads GPT-5.6 Luna in Reasoning at #29 against #55.

Science: As of Oct 14, 2026, GPT-5.4 leads GPT-5.6 Luna in Science at #16 against #25.

Coding › Web dev: As of Oct 14, 2026, GPT-5.6 Luna leads GPT-5.4 in Coding › Web dev at #43 against #55.

Long context: As of Oct 14, 2026, GPT-5.4 leads GPT-5.6 Luna in Long context at #34 against #65.

Factuality: As of Oct 14, 2026, GPT-5.4 leads GPT-5.6 Luna in Factuality at #6 against #35.

Abstraction (ARC): As of Oct 14, 2026, GPT-5.4 leads GPT-5.6 Luna in Abstraction (ARC) at #10 against #19.

GPT-5.4 · GPT-5.6 Luna

GPT-5.4 or GPT-5.6 Luna?

As of Oct 14, 2026, GPT-5.4 leads GPT-5.6 Luna in 6 of 7 shared categories: General LLM, Reasoning, Science, Long context, Factuality, and Abstraction (ARC).

GPT-5.4 or GPT-5.6 Luna for General LLM?

As of Oct 14, 2026, GPT-5.4 leads GPT-5.6 Luna in General LLM at #28 against #53.

GPT-5.4 or GPT-5.6 Luna for Reasoning?

As of Oct 14, 2026, GPT-5.4 leads GPT-5.6 Luna in Reasoning at #29 against #55.

GPT-5.4 or GPT-5.6 Luna for Science?

As of Oct 14, 2026, GPT-5.4 leads GPT-5.6 Luna in Science at #16 against #25.