Compare · 2026-10-14

Claude Opus 4.8 vs GLM 5.2

As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.2 in 5 of 7 shared categories: General LLM, Reasoning, Long context, Factuality, and Abstraction (ARC).

CategoryClaude Opus 4.8GLM 5.2
General LLM
#20 · #20 in General LLM
Margin 13.605442176870753
LMArena leaderboard dataset · Oct 13, 2026
#26 · #26 in General LLM
Margin 17.687074829931973
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#10 · #10 in Reasoning
Margin 7.534246575342465
LMArena leaderboard dataset · Oct 13, 2026
#30 · #30 in Reasoning
Margin 21.23287671232876
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
#23 · #23 in Science
Margin —
Epoch AI benchmarking hub · Jun 16, 2026
Coding
#12 · #12 in Coding
Margin 59.09090909090909
Terminal-Bench Harbor Hub · Oct 6, 2026
—
Coding › Agentic
#12 · #12 in Coding › Agentic
Margin 59.09090909090909
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
#23 · #23 in Coding › Web dev
Margin 20.560747663551396
LMArena leaderboard dataset · Oct 13, 2026
Long context
#10 · Was SOTA · Long context
Margin 6.802721088435391
LMArena leaderboard dataset · Oct 13, 2026
#25 · #25 in Long context
Margin 17.006802721088434
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
#31 · #31 in Factuality
Margin 23.88059701492537
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#12 · #12 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · May 28, 2026
#29 · #29 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Jun 16, 2026
Price per 1M tokens

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

GLM 5.2: $1.795 per 1M blended tokens.

Open weights

Claude Opus 4.8: closed weights.

GLM 5.2: open weights.

Which to pick

General LLM: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.2 in General LLM at #20 against #26.

Reasoning: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.2 in Reasoning at #10 against #30.

Science: As of Oct 14, 2026, GLM 5.2 leads Claude Opus 4.8 in Science at #23 against #27.

Coding › Web dev: As of Oct 14, 2026, GLM 5.2 leads Claude Opus 4.8 in Coding › Web dev at #23 against #33.

Long context: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.2 in Long context at #10 against #25.

Factuality: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.2 in Factuality at #21 against #31.

Abstraction (ARC): As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.2 in Abstraction (ARC) at #12 against #29.

Claude Opus 4.8 · GLM 5.2

Claude Opus 4.8 or GLM 5.2?

As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.2 in 5 of 7 shared categories: General LLM, Reasoning, Long context, Factuality, and Abstraction (ARC).

Claude Opus 4.8 or GLM 5.2 for General LLM?

As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.2 in General LLM at #20 against #26.

Claude Opus 4.8 or GLM 5.2 for Reasoning?

As of Oct 14, 2026, Claude Opus 4.8 leads GLM 5.2 in Reasoning at #10 against #30.

Claude Opus 4.8 or GLM 5.2 for Science?

As of Oct 14, 2026, GLM 5.2 leads Claude Opus 4.8 in Science at #23 against #27.