Compare · 2026-10-14

Claude Opus 4.8 vs GLM 5.3

As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.3 in 5 of 8 shared categories: General LLM, Reasoning, Science, Long context, and Factuality.

CategoryClaude Opus 4.8GLM 5.3
General LLM
#20 · #20 in General LLM
Margin 13.605442176870753
LMArena leaderboard dataset · Oct 13, 2026
#23 · #23 in General LLM
Margin 15.646258503401356
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#10 · #10 in Reasoning
Margin 7.534246575342465
LMArena leaderboard dataset · Oct 13, 2026
#19 · #19 in Reasoning
Margin 13.698630136986296
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
#27 · #27 in Science
Margin —
Epoch AI benchmarking hub · May 28, 2026
#28 · #28 in Science
Margin —
Epoch AI benchmarking hub · Aug 14, 2026
Coding
#12 · #12 in Coding
Margin 59.09090909090909
Terminal-Bench Harbor Hub · Oct 6, 2026
#7 · #7 in Coding
Margin 36.36363636363637
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic
#12 · #12 in Coding › Agentic
Margin 59.09090909090909
Terminal-Bench Harbor Hub · Oct 6, 2026
#7 · #7 in Coding › Agentic
Margin 36.36363636363637
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Web dev
#33 · Was SOTA · Coding › Web dev
Margin 29.90654205607477
LMArena leaderboard dataset · Oct 13, 2026
#18 · #18 in Coding › Web dev
Margin 15.887850467289724
LMArena leaderboard dataset · Oct 13, 2026
Long context
#10 · Was SOTA · Long context
Margin 6.802721088435391
LMArena leaderboard dataset · Oct 13, 2026
#27 · #27 in Long context
Margin 18.367346938775512
LMArena leaderboard dataset · Oct 13, 2026
Vision
#13 · #13 in Vision
Margin 36.842105263157904
Epoch AI benchmarking hub · May 28, 2026
—
Factuality
#21 · #21 in Factuality
Margin 16.417910447761187
LMArena leaderboard dataset · Oct 13, 2026
#27 · #27 in Factuality
Margin 20.895522388059703
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#12 · #12 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · May 28, 2026
—
Price per 1M tokens

Claude Opus 4.8: $10 per 1M blended tokens.

GLM 5.3: $1.2592499999999998 per 1M blended tokens.

Open weights

Claude Opus 4.8: closed weights.

GLM 5.3: open weights.

Which to pick

General LLM: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.3 in General LLM at #20 against #23.

Reasoning: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.3 in Reasoning at #10 against #19.

Science: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.3 in Science at #27 against #28.

Coding: As of Oct 14, 2026, GLM 5.3 leads Claude Opus 4.8 in Coding at #7 against #12.

Coding › Agentic: As of Oct 14, 2026, GLM 5.3 leads Claude Opus 4.8 in Coding › Agentic at #7 against #12.

Coding › Web dev: As of Oct 14, 2026, GLM 5.3 leads Claude Opus 4.8 in Coding › Web dev at #18 against #33.

Long context: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.3 in Long context at #10 against #27.

Factuality: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.3 in Factuality at #21 against #27.

Claude Opus 4.8 · GLM 5.3

Claude Opus 4.8 or GLM 5.3?

As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.3 in 5 of 8 shared categories: General LLM, Reasoning, Science, Long context, and Factuality.

Claude Opus 4.8 or GLM 5.3 for General LLM?

As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.3 in General LLM at #20 against #23.

Claude Opus 4.8 or GLM 5.3 for Reasoning?

As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.3 in Reasoning at #10 against #19.

Claude Opus 4.8 or GLM 5.3 for Science?

As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.3 in Science at #27 against #28.