Compare · 2026-10-14

GLM 5.3 vs GPT-5.6 Luna

As of Oct 14, 2026, GLM 5.3 leads GPT-5.6 Luna in 7 of 8 shared categories: General LLM, Reasoning, Coding, Coding › Agentic, Coding › Web dev, Long context, and Factuality.

CategoryGLM 5.3GPT-5.6 Luna
General LLM
#23 · #23 in General LLM
Margin 15.646258503401356
LMArena leaderboard dataset · Oct 13, 2026
#53 · #53 in General LLM
Margin 36.054421768707485
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#19 · #19 in Reasoning
Margin 13.698630136986296
LMArena leaderboard dataset · Oct 13, 2026
#55 · #55 in Reasoning
Margin 38.35616438356164
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
#28 · #28 in Science
Margin —
Epoch AI benchmarking hub · Aug 14, 2026
#25 · #25 in Science
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Coding
#7 · #7 in Coding
Margin 36.36363636363637
Terminal-Bench Harbor Hub · Oct 6, 2026
#16 · #16 in Coding
Margin 77.27272727272728
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic
#7 · #7 in Coding › Agentic
Margin 36.36363636363637
Terminal-Bench Harbor Hub · Oct 6, 2026
#16 · #16 in Coding › Agentic
Margin 77.27272727272728
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Web dev
#18 · #18 in Coding › Web dev
Margin 15.887850467289724
LMArena leaderboard dataset · Oct 13, 2026
#43 · #43 in Coding › Web dev
Margin 39.25233644859813
LMArena leaderboard dataset · Oct 13, 2026
Long context
#27 · #27 in Long context
Margin 18.367346938775512
LMArena leaderboard dataset · Oct 13, 2026
#65 · #65 in Long context
Margin 44.21768707482993
LMArena leaderboard dataset · Oct 13, 2026
Vision—
#19 · #19 in Vision
Margin 52.63157894736842
Epoch AI benchmarking hub · Jul 9, 2026
Factuality
#27 · #27 in Factuality
Margin 20.895522388059703
LMArena leaderboard dataset · Oct 13, 2026
#35 · #35 in Factuality
Margin 26.86567164179104
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)—
#19 · #19 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Price per 1M tokens

GLM 5.3: $1.2592499999999998 per 1M blended tokens.

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

Open weights

GLM 5.3: open weights.

GPT-5.6 Luna: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, GLM 5.3 leads GPT-5.6 Luna in General LLM at #23 against #53.

Reasoning: As of Oct 14, 2026, GLM 5.3 leads GPT-5.6 Luna in Reasoning at #19 against #55.

Science: As of Oct 14, 2026, GPT-5.6 Luna leads GLM 5.3 in Science at #25 against #28.

Coding: As of Oct 14, 2026, GLM 5.3 leads GPT-5.6 Luna in Coding at #7 against #16.

Coding › Agentic: As of Oct 14, 2026, GLM 5.3 leads GPT-5.6 Luna in Coding › Agentic at #7 against #16.

Coding › Web dev: As of Oct 14, 2026, GLM 5.3 leads GPT-5.6 Luna in Coding › Web dev at #18 against #43.

Long context: As of Oct 14, 2026, GLM 5.3 leads GPT-5.6 Luna in Long context at #27 against #65.

Factuality: As of Oct 14, 2026, GLM 5.3 leads GPT-5.6 Luna in Factuality at #27 against #35.

GLM 5.3 · GPT-5.6 Luna

GLM 5.3 or GPT-5.6 Luna?

As of Oct 14, 2026, GLM 5.3 leads GPT-5.6 Luna in 7 of 8 shared categories: General LLM, Reasoning, Coding, Coding › Agentic, Coding › Web dev, Long context, and Factuality.

GLM 5.3 or GPT-5.6 Luna for General LLM?

As of Oct 14, 2026, GLM 5.3 leads GPT-5.6 Luna in General LLM at #23 against #53.

GLM 5.3 or GPT-5.6 Luna for Reasoning?

As of Oct 14, 2026, GLM 5.3 leads GPT-5.6 Luna in Reasoning at #19 against #55.

GLM 5.3 or GPT-5.6 Luna for Science?

As of Oct 14, 2026, GPT-5.6 Luna leads GLM 5.3 in Science at #25 against #28.