Claude Opus 4.7 vs GLM 4.7
As of Oct 15, 2026, Claude Opus 4.7 leads GLM 4.7 in 6 of 6 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, and Factuality.
Claude Opus 4.7
Close. Near-SOTA in Reasoning, rank #4.
GLM 4.7
It used to be. Was SOTA in Coding › Web dev.
| Category | Claude Opus 4.7 | GLM 4.7 |
|---|---|---|
| General LLM | #5 · Near-SOTA · General LLM Margin 2.659574468085111 LMArena leaderboard dataset · Oct 13, 2026 | #86 · #86 in General LLM Margin 45.744680851063826 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #4 · Near-SOTA · Reasoning Margin 2.659574468085111 LMArena leaderboard dataset · Oct 13, 2026 | #83 · #83 in Reasoning Margin 44.680851063829785 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 | #64 · #64 in Science Margin — Epoch AI benchmarking hub · Dec 22, 2025 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Web dev | #34 · Was SOTA · Coding › Web dev Margin 26.400000000000006 LMArena leaderboard dataset · Oct 13, 2026 | #69 · #69 in Coding › Web dev Margin 54.4 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #4 · Near-SOTA · Long context Margin 2.1276595744680833 LMArena leaderboard dataset · Oct 13, 2026 | #81 · #81 in Long context Margin 43.08510638297873 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #20 · Was SOTA · Vision Margin 55.26315789473684 Epoch AI benchmarking hub · Apr 16, 2026 | — |
| Factuality | #13 · #13 in Factuality Margin 8.139534883720927 LMArena leaderboard dataset · Oct 13, 2026 | #75 · #75 in Factuality Margin 44.18604651162791 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 4.7: $1 per 1M blended tokens.
Claude Opus 4.7: closed weights.
GLM 4.7: open weights.
General LLM: As of Oct 15, 2026, Claude Opus 4.7 leads GLM 4.7 in General LLM at #5 against #86.
Reasoning: As of Oct 15, 2026, Claude Opus 4.7 leads GLM 4.7 in Reasoning at #4 against #83.
Science: As of Oct 15, 2026, Claude Opus 4.7 leads GLM 4.7 in Science at #34 against #64.
Coding › Web dev: As of Oct 15, 2026, Claude Opus 4.7 leads GLM 4.7 in Coding › Web dev at #34 against #69.
Long context: As of Oct 15, 2026, Claude Opus 4.7 leads GLM 4.7 in Long context at #4 against #81.
Factuality: As of Oct 15, 2026, Claude Opus 4.7 leads GLM 4.7 in Factuality at #13 against #75.
Claude Opus 4.7 or GLM 4.7?
As of Oct 15, 2026, Claude Opus 4.7 leads GLM 4.7 in 6 of 6 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, and Factuality.
Claude Opus 4.7 or GLM 4.7 for General LLM?
As of Oct 15, 2026, Claude Opus 4.7 leads GLM 4.7 in General LLM at #5 against #86.
Claude Opus 4.7 or GLM 4.7 for Reasoning?
As of Oct 15, 2026, Claude Opus 4.7 leads GLM 4.7 in Reasoning at #4 against #83.
Claude Opus 4.7 or GLM 4.7 for Science?
As of Oct 15, 2026, Claude Opus 4.7 leads GLM 4.7 in Science at #34 against #64.