GPT-5.4 vs GPT-6.1 Sol
As of Oct 14, 2026, GPT-5.4 leads GPT-6.1 Sol in 1 of 7 shared categories: Factuality.
| Category | GPT-5.4 | GPT-6.1 Sol |
|---|---|---|
| General LLM | #28 · Was SOTA · General LLM Margin 19.04761904761905 LMArena leaderboard dataset · Oct 13, 2026 | #18 · #18 in General LLM Margin 12.244897959183675 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #29 · #29 in Reasoning Margin 20.54794520547945 LMArena leaderboard dataset · Oct 13, 2026 | #15 · #15 in Reasoning Margin 10.958904109589042 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #9 · #9 in Math Margin 17.777777777777757 Epoch AI benchmarking hub · Mar 5, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Science | #16 · #16 in Science Margin — Epoch AI benchmarking hub · Mar 5, 2026 | #4 · #4 in Science Margin — Epoch AI benchmarking hub · Sep 29, 2026 |
| Coding | #— · Not enough data Margin — Epoch AI benchmarking hub · Mar 5, 2026 | #2 · Near-SOTA · Coding Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Agentic | — | #2 · Near-SOTA · Coding › Agentic Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Web dev | #55 · #55 in Coding › Web dev Margin 50.467289719626166 LMArena leaderboard dataset · Oct 13, 2026 | #4 · Near-SOTA · Coding › Web dev Margin 2.803738317757009 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #34 · #34 in Long context Margin 23.12925170068027 LMArena leaderboard dataset · Oct 13, 2026 | #17 · #17 in Long context Margin 11.564625850340136 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 | #1 · Co-SOTA · Vision Margin 0 Epoch AI benchmarking hub · Sep 29, 2026 |
| Factuality | #6 · Was SOTA · Factuality Margin 5.22388059701494 LMArena leaderboard dataset · Oct 13, 2026 | #29 · #29 in Factuality Margin 22.388059701492537 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #10 · #10 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Mar 5, 2026 | #1 · #1 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 29, 2026 |
GPT-5.4: $5.625 per 1M blended tokens.
GPT-6.1 Sol: $4.000000000000001 per 1M blended tokens.
GPT-5.4: closed weights.
GPT-6.1 Sol: closed weights.
General LLM: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.4 in General LLM at #18 against #28.
Reasoning: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.4 in Reasoning at #15 against #29.
Science: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.4 in Science at #4 against #16.
Coding › Web dev: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.4 in Coding › Web dev at #4 against #55.
Long context: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.4 in Long context at #17 against #34.
Factuality: As of Oct 14, 2026, GPT-5.4 leads GPT-6.1 Sol in Factuality at #6 against #29.
Abstraction (ARC): As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.4 in Abstraction (ARC) at #1 against #10.
GPT-5.4 or GPT-6.1 Sol?
As of Oct 14, 2026, GPT-5.4 leads GPT-6.1 Sol in 1 of 7 shared categories: Factuality.
GPT-5.4 or GPT-6.1 Sol for General LLM?
As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.4 in General LLM at #18 against #28.
GPT-5.4 or GPT-6.1 Sol for Reasoning?
As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.4 in Reasoning at #15 against #29.
GPT-5.4 or GPT-6.1 Sol for Science?
As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.4 in Science at #4 against #16.