Compare · 2026-10-15

GLM 5.3 vs Grok 4.6

As of Oct 15, 2026, GLM 5.3 leads Grok 4.6 in 7 of 8 shared categories: General LLM, Reasoning, Coding, Coding › Agentic, Coding › Web dev, Long context, and Factuality.

CategoryGLM 5.3Grok 4.6
General LLM
#23 · #23 in General LLM
Margin 15.646258503401356
LMArena leaderboard dataset · Oct 13, 2026
#48 · #48 in General LLM
Margin 32.65306122448979
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#19 · #19 in Reasoning
Margin 13.698630136986296
LMArena leaderboard dataset · Oct 13, 2026
#44 · #44 in Reasoning
Margin 30.821917808219183
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
#10 · #10 in Science
Margin —
Epoch AI benchmarking hub · Aug 12, 2026
Coding
#7 · #7 in Coding
Margin 36.36363636363637
Terminal-Bench Harbor Hub · Oct 6, 2026
#14 · #14 in Coding
Margin 68.18181818181819
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic
#7 · #7 in Coding › Agentic
Margin 36.36363636363637
Terminal-Bench Harbor Hub · Oct 6, 2026
#14 · #14 in Coding › Agentic
Margin 68.18181818181819
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
#20 · #20 in Coding › Web dev
Margin 17.757009345794387
LMArena leaderboard dataset · Oct 13, 2026
Long context
#27 · #27 in Long context
Margin 18.367346938775512
LMArena leaderboard dataset · Oct 13, 2026
#41 · #41 in Long context
Margin 27.89115646258503
LMArena leaderboard dataset · Oct 13, 2026
Vision—
#24 · #24 in Vision
Margin 65.78947368421052
Epoch AI benchmarking hub · Aug 12, 2026
Factuality
#27 · #27 in Factuality
Margin 20.895522388059703
LMArena leaderboard dataset · Oct 13, 2026
#51 · #51 in Factuality
Margin 38.80597014925373
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)—
#20 · #20 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Aug 12, 2026
Price per 1M tokens

GLM 5.3: $1.275 per 1M blended tokens.

Grok 4.6: $3 per 1M blended tokens.

Open weights

GLM 5.3: open weights.

Grok 4.6: closed weights.

Which to pick

General LLM: As of Oct 15, 2026, GLM 5.3 leads Grok 4.6 in General LLM at #23 against #48.

Reasoning: As of Oct 15, 2026, GLM 5.3 leads Grok 4.6 in Reasoning at #19 against #44.

Science: As of Oct 15, 2026, Grok 4.6 leads GLM 5.3 in Science at #10 against #28.

Coding: As of Oct 15, 2026, GLM 5.3 leads Grok 4.6 in Coding at #7 against #14.

Coding › Agentic: As of Oct 15, 2026, GLM 5.3 leads Grok 4.6 in Coding › Agentic at #7 against #14.

Coding › Web dev: As of Oct 15, 2026, GLM 5.3 leads Grok 4.6 in Coding › Web dev at #18 against #20.

Long context: As of Oct 15, 2026, GLM 5.3 leads Grok 4.6 in Long context at #27 against #41.

Factuality: As of Oct 15, 2026, GLM 5.3 leads Grok 4.6 in Factuality at #27 against #51.

GLM 5.3 · Grok 4.6

GLM 5.3 or Grok 4.6?

As of Oct 15, 2026, GLM 5.3 leads Grok 4.6 in 7 of 8 shared categories: General LLM, Reasoning, Coding, Coding › Agentic, Coding › Web dev, Long context, and Factuality.

GLM 5.3 or Grok 4.6 for General LLM?

As of Oct 15, 2026, GLM 5.3 leads Grok 4.6 in General LLM at #23 against #48.

GLM 5.3 or Grok 4.6 for Reasoning?

As of Oct 15, 2026, GLM 5.3 leads Grok 4.6 in Reasoning at #19 against #44.

GLM 5.3 or Grok 4.6 for Science?

As of Oct 15, 2026, Grok 4.6 leads GLM 5.3 in Science at #10 against #28.