Claude Opus 4.8 vs GLM 4.6
As of Oct 14, 2026, Claude Opus 4.8 leads GLM 4.6 in 5 of 5 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
Claude Opus 4.8
It used to be. Was SOTA in Coding › Web dev.
GLM 4.6
It used to be. Was SOTA in General LLM.
| Category | Claude Opus 4.8 | GLM 4.6 |
|---|---|---|
| General LLM | #20 · #20 in General LLM Margin 13.605442176870753 LMArena leaderboard dataset · Oct 13, 2026 | #87 · #87 in General LLM Margin 59.183673469387756 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #10 · #10 in Reasoning Margin 7.534246575342465 LMArena leaderboard dataset · Oct 13, 2026 | #89 · #89 in Reasoning Margin 61.64383561643836 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 | — |
| Coding | #12 · #12 in Coding Margin 59.09090909090909 Terminal-Bench Harbor Hub · Oct 6, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 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 | #88 · Was SOTA · Coding › Web dev Margin 81.30841121495327 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #10 · Was SOTA · Long context Margin 6.802721088435391 LMArena leaderboard dataset · Oct 13, 2026 | #90 · #90 in Long context Margin 61.224489795918366 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 | #55 · #55 in Factuality Margin 41.7910447761194 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #12 · #12 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · May 28, 2026 | — |
Claude Opus 4.8: $10 per 1M blended tokens.
GLM 4.6: $0.875 per 1M blended tokens.
Claude Opus 4.8: closed weights.
GLM 4.6: open weights.
General LLM: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 4.6 in General LLM at #20 against #87.
Reasoning: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 4.6 in Reasoning at #10 against #89.
Coding › Web dev: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 4.6 in Coding › Web dev at #33 against #88.
Long context: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 4.6 in Long context at #10 against #90.
Factuality: As of Oct 14, 2026, Claude Opus 4.8 leads GLM 4.6 in Factuality at #21 against #55.
Claude Opus 4.8 or GLM 4.6?
As of Oct 14, 2026, Claude Opus 4.8 leads GLM 4.6 in 5 of 5 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
Claude Opus 4.8 or GLM 4.6 for General LLM?
As of Oct 14, 2026, Claude Opus 4.8 leads GLM 4.6 in General LLM at #20 against #87.
Claude Opus 4.8 or GLM 4.6 for Reasoning?
As of Oct 14, 2026, Claude Opus 4.8 leads GLM 4.6 in Reasoning at #10 against #89.
Claude Opus 4.8 or GLM 4.6 for Coding › Web dev?
As of Oct 14, 2026, Claude Opus 4.8 leads GLM 4.6 in Coding › Web dev at #33 against #88.