GPT-5.5 vs Grok 4.7
As of Oct 14, 2026, GPT-5.5 leads Grok 4.7 in 6 of 8 shared categories: General LLM, Reasoning, Long context, Vision, Factuality, and Abstraction (ARC).
GPT-5.5
It used to be. Was SOTA in General LLM.
Grok 4.7
#8 Best current rank: #8 in Coding, as of Oct 14, 2026.
| Category | GPT-5.5 | Grok 4.7 |
|---|---|---|
| General LLM | #21 · Was SOTA · General LLM Margin 14.285714285714292 LMArena leaderboard dataset · Oct 13, 2026 | #63 · #63 in General LLM Margin 42.857142857142854 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #25 · #25 in Reasoning Margin 17.808219178082197 LMArena leaderboard dataset · Oct 13, 2026 | #62 · #62 in Reasoning Margin 43.15068493150685 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 | #30 · #30 in Science Margin — Epoch AI benchmarking hub · Apr 23, 2026 | #19 · #19 in Science Margin — Epoch AI benchmarking hub · Sep 21, 2026 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #8 · #8 in Coding Margin 40.90909090909091 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Agentic | — | #8 · #8 in Coding › Agentic Margin 40.90909090909091 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Web dev | #44 · #44 in Coding › Web dev Margin 40.18691588785047 LMArena leaderboard dataset · Oct 13, 2026 | #13 · #13 in Coding › Web dev Margin 11.214953271028037 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #23 · Was SOTA · Long context Margin 15.646258503401356 LMArena leaderboard dataset · Oct 13, 2026 | #63 · #63 in Long context Margin 42.857142857142854 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #10 · Was SOTA · Vision Margin 28.94736842105263 Epoch AI benchmarking hub · Apr 23, 2026 | #18 · #18 in Vision Margin 50 Epoch AI benchmarking hub · Sep 21, 2026 |
| Factuality | #5 · Was SOTA · Factuality Margin 4.477611940298502 LMArena leaderboard dataset · Oct 13, 2026 | #80 · #80 in Factuality Margin 60.44776119402985 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #7 · #7 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 23, 2026 | #16 · #16 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 21, 2026 |
GPT-5.5: $11.25 per 1M blended tokens.
Grok 4.7: $3 per 1M blended tokens.
GPT-5.5: closed weights.
Grok 4.7: closed weights.
General LLM: As of Oct 14, 2026, GPT-5.5 leads Grok 4.7 in General LLM at #21 against #63.
Reasoning: As of Oct 14, 2026, GPT-5.5 leads Grok 4.7 in Reasoning at #25 against #62.
Science: As of Oct 14, 2026, Grok 4.7 leads GPT-5.5 in Science at #19 against #30.
Coding › Web dev: As of Oct 14, 2026, Grok 4.7 leads GPT-5.5 in Coding › Web dev at #13 against #44.
Long context: As of Oct 14, 2026, GPT-5.5 leads Grok 4.7 in Long context at #23 against #63.
Vision: As of Oct 14, 2026, GPT-5.5 leads Grok 4.7 in Vision at #10 against #18.
Factuality: As of Oct 14, 2026, GPT-5.5 leads Grok 4.7 in Factuality at #5 against #80.
Abstraction (ARC): As of Oct 14, 2026, GPT-5.5 leads Grok 4.7 in Abstraction (ARC) at #7 against #16.
GPT-5.5 or Grok 4.7?
As of Oct 14, 2026, GPT-5.5 leads Grok 4.7 in 6 of 8 shared categories: General LLM, Reasoning, Long context, Vision, Factuality, and Abstraction (ARC).
GPT-5.5 or Grok 4.7 for General LLM?
As of Oct 14, 2026, GPT-5.5 leads Grok 4.7 in General LLM at #21 against #63.
GPT-5.5 or Grok 4.7 for Reasoning?
As of Oct 14, 2026, GPT-5.5 leads Grok 4.7 in Reasoning at #25 against #62.
GPT-5.5 or Grok 4.7 for Science?
As of Oct 14, 2026, Grok 4.7 leads GPT-5.5 in Science at #19 against #30.