GLM 5.3 vs Grok 4.7
As of Oct 15, 2026, GLM 5.3 leads Grok 4.7 in 6 of 8 shared categories: General LLM, Reasoning, Coding, Coding › Agentic, Long context, and Factuality.
GLM 5.3
Yes. Yes on General LLM (open weights); Reasoning (best per dollar). Not the overall leader.
Grok 4.7
#8 Best current rank: #8 in Coding, as of Oct 15, 2026.
| Category | GLM 5.3 | Grok 4.7 |
|---|---|---|
| General LLM | #24 · #24 in General LLM Margin 12.765957446808514 LMArena leaderboard dataset · Oct 13, 2026 | #80 · #80 in General LLM Margin 42.5531914893617 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #19 · #19 in Reasoning Margin 10.63829787234043 LMArena leaderboard dataset · Oct 13, 2026 | #77 · #77 in Reasoning Margin 41.48936170212766 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 | #28 · #28 in Science Margin — Epoch AI benchmarking hub · Aug 14, 2026 | #19 · #19 in Science Margin — Epoch AI benchmarking hub · Sep 21, 2026 |
| Coding | #7 · #7 in Coding Margin 36.36363636363637 Terminal-Bench Harbor Hub · Oct 6, 2026 | #8 · #8 in Coding Margin 40.90909090909091 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Agentic | #7 · #7 in Coding › Agentic Margin 36.36363636363637 Terminal-Bench Harbor Hub · Oct 6, 2026 | #8 · #8 in Coding › Agentic Margin 40.90909090909091 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Web dev | #20 · #20 in Coding › Web dev Margin 15.200000000000003 LMArena leaderboard dataset · Oct 13, 2026 | #14 · #14 in Coding › Web dev Margin 10.400000000000006 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #31 · #31 in Long context Margin 16.489361702127653 LMArena leaderboard dataset · Oct 13, 2026 | #78 · #78 in Long context Margin 41.48936170212765 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | — | #18 · #18 in Vision Margin 50 Epoch AI benchmarking hub · Sep 21, 2026 |
| Factuality | #31 · #31 in Factuality Margin 18.604651162790702 LMArena leaderboard dataset · Oct 13, 2026 | #102 · #102 in Factuality Margin 59.88372093023256 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | — | #16 · #16 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 21, 2026 |
GLM 5.3: $1.275 per 1M blended tokens.
Grok 4.7: $3 per 1M blended tokens.
GLM 5.3: open weights.
Grok 4.7: closed weights.
General LLM: As of Oct 15, 2026, GLM 5.3 leads Grok 4.7 in General LLM at #24 against #80.
Reasoning: As of Oct 15, 2026, GLM 5.3 leads Grok 4.7 in Reasoning at #19 against #77.
Science: As of Oct 15, 2026, Grok 4.7 leads GLM 5.3 in Science at #19 against #28.
Coding: As of Oct 15, 2026, GLM 5.3 leads Grok 4.7 in Coding at #7 against #8.
Coding › Agentic: As of Oct 15, 2026, GLM 5.3 leads Grok 4.7 in Coding › Agentic at #7 against #8.
Coding › Web dev: As of Oct 15, 2026, Grok 4.7 leads GLM 5.3 in Coding › Web dev at #14 against #20.
Long context: As of Oct 15, 2026, GLM 5.3 leads Grok 4.7 in Long context at #31 against #78.
Factuality: As of Oct 15, 2026, GLM 5.3 leads Grok 4.7 in Factuality at #31 against #102.
GLM 5.3 or Grok 4.7?
As of Oct 15, 2026, GLM 5.3 leads Grok 4.7 in 6 of 8 shared categories: General LLM, Reasoning, Coding, Coding › Agentic, Long context, and Factuality.
GLM 5.3 or Grok 4.7 for General LLM?
As of Oct 15, 2026, GLM 5.3 leads Grok 4.7 in General LLM at #24 against #80.
GLM 5.3 or Grok 4.7 for Reasoning?
As of Oct 15, 2026, GLM 5.3 leads Grok 4.7 in Reasoning at #19 against #77.
GLM 5.3 or Grok 4.7 for Science?
As of Oct 15, 2026, Grok 4.7 leads GLM 5.3 in Science at #19 against #28.