Claude Opus 4.7 vs GLM 5.3
As of Oct 14, 2026, Claude Opus 4.7 leads GLM 5.3 in 4 of 6 shared categories: General LLM, Reasoning, Long context, and Factuality.
Claude Opus 4.7
Close. Near-SOTA in Reasoning, rank #4.
GLM 5.3
Yes. Yes on General LLM (open weights); Reasoning (best per dollar). Not the overall leader.
| Category | Claude Opus 4.7 | GLM 5.3 |
|---|---|---|
| General LLM | #5 · Near-SOTA · General LLM Margin 3.401360544217681 LMArena leaderboard dataset · Oct 13, 2026 | #23 · #23 in General LLM Margin 15.646258503401356 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #4 · Near-SOTA · Reasoning Margin 3.4246575342465775 LMArena leaderboard dataset · Oct 13, 2026 | #19 · #19 in Reasoning Margin 13.698630136986296 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #10 · #10 in Math Margin 20 Epoch AI benchmarking hub · Apr 16, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Science | #34 · #34 in Science Margin — Epoch AI benchmarking hub · Apr 16, 2026 | #28 · #28 in Science Margin — Epoch AI benchmarking hub · Aug 14, 2026 |
| Coding | #— · Not enough data Margin — Epoch AI benchmarking hub · Apr 16, 2026 | #7 · #7 in Coding Margin 36.36363636363637 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Agentic | — | #7 · #7 in Coding › Agentic Margin 36.36363636363637 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Web dev | #32 · Was SOTA · Coding › Web dev Margin 28.971962616822424 LMArena leaderboard dataset · Oct 13, 2026 | #18 · #18 in Coding › Web dev Margin 15.887850467289724 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #4 · Near-SOTA · Long context Margin 2.7210884353741562 LMArena leaderboard dataset · Oct 13, 2026 | #27 · #27 in Long context Margin 18.367346938775512 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #20 · Was SOTA · Vision Margin 55.26315789473684 Epoch AI benchmarking hub · Apr 16, 2026 | — |
| Factuality | #12 · #12 in Factuality Margin 9.701492537313428 LMArena leaderboard dataset · Oct 13, 2026 | #27 · #27 in Factuality Margin 20.895522388059703 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #11 · #11 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 16, 2026 | — |
Claude Opus 4.7: $10 per 1M blended tokens.
GLM 5.3: $1.2592499999999998 per 1M blended tokens.
Claude Opus 4.7: closed weights.
GLM 5.3: open weights.
General LLM: As of Oct 14, 2026, Claude Opus 4.7 leads GLM 5.3 in General LLM at #5 against #23.
Reasoning: As of Oct 14, 2026, Claude Opus 4.7 leads GLM 5.3 in Reasoning at #4 against #19.
Science: As of Oct 14, 2026, GLM 5.3 leads Claude Opus 4.7 in Science at #28 against #34.
Coding › Web dev: As of Oct 14, 2026, GLM 5.3 leads Claude Opus 4.7 in Coding › Web dev at #18 against #32.
Long context: As of Oct 14, 2026, Claude Opus 4.7 leads GLM 5.3 in Long context at #4 against #27.
Factuality: As of Oct 14, 2026, Claude Opus 4.7 leads GLM 5.3 in Factuality at #12 against #27.
Claude Opus 4.7 or GLM 5.3?
As of Oct 14, 2026, Claude Opus 4.7 leads GLM 5.3 in 4 of 6 shared categories: General LLM, Reasoning, Long context, and Factuality.
Claude Opus 4.7 or GLM 5.3 for General LLM?
As of Oct 14, 2026, Claude Opus 4.7 leads GLM 5.3 in General LLM at #5 against #23.
Claude Opus 4.7 or GLM 5.3 for Reasoning?
As of Oct 14, 2026, Claude Opus 4.7 leads GLM 5.3 in Reasoning at #4 against #19.
Claude Opus 4.7 or GLM 5.3 for Science?
As of Oct 14, 2026, GLM 5.3 leads Claude Opus 4.7 in Science at #28 against #34.