Gemini 3.1 Pro Preview vs GPT-6.1 Sol
As of Oct 15, 2026, Gemini 3.1 Pro Preview leads GPT-6.1 Sol in 4 of 8 shared categories: General LLM, Reasoning, Long context, and Factuality.
Gemini 3.1 Pro Preview
Yes. Yes on Math (best per dollar). Not the overall leader.
GPT-6.1 Sol
Yes. SOTA in Vision (tied).
| Category | Gemini 3.1 Pro Preview | GPT-6.1 Sol |
|---|---|---|
| General LLM | #15 · Was SOTA · General LLM Margin 7.9787234042553195 LMArena leaderboard dataset · Oct 13, 2026 | #18 · #18 in General LLM Margin 9.574468085106389 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #14 · Was SOTA · Reasoning Margin 7.9787234042553195 LMArena leaderboard dataset · Oct 13, 2026 | #15 · #15 in Reasoning Margin 8.510638297872347 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #3 · Near-SOTA · Math Margin 4.444444444444443 Epoch AI benchmarking hub · Feb 19, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Science | #7 · #7 in Science Margin — Epoch AI benchmarking hub · Feb 19, 2026 | #4 · #4 in Science Margin — Epoch AI benchmarking hub · Sep 29, 2026 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 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 | #63 · #63 in Coding › Web dev Margin 49.6 LMArena leaderboard dataset · Oct 13, 2026 | #4 · Near-SOTA · Coding › Web dev Margin 2.4000000000000057 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #12 · Was SOTA · Long context Margin 6.382978723404236 LMArena leaderboard dataset · Oct 13, 2026 | #18 · #18 in Long context Margin 9.574468085106389 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #25 · Was SOTA · Vision Margin 68.42105263157896 Epoch AI benchmarking hub · Feb 19, 2026 | #1 · Co-SOTA · Vision Margin 0 Epoch AI benchmarking hub · Sep 29, 2026 |
| Factuality | #21 · #21 in Factuality Margin 12.79069767441861 LMArena leaderboard dataset · Oct 13, 2026 | #33 · #33 in Factuality Margin 19.767441860465127 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #2 · #2 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Feb 19, 2026 | #1 · #1 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 29, 2026 |
Gemini 3.1 Pro Preview: $4.5 per 1M blended tokens.
GPT-6.1 Sol: $4.000000000000001 per 1M blended tokens.
Gemini 3.1 Pro Preview: closed weights.
GPT-6.1 Sol: closed weights.
General LLM: As of Oct 15, 2026, Gemini 3.1 Pro Preview leads GPT-6.1 Sol in General LLM at #15 against #18.
Reasoning: As of Oct 15, 2026, Gemini 3.1 Pro Preview leads GPT-6.1 Sol in Reasoning at #14 against #15.
Science: As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 3.1 Pro Preview in Science at #4 against #7.
Coding › Web dev: As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 3.1 Pro Preview in Coding › Web dev at #4 against #63.
Long context: As of Oct 15, 2026, Gemini 3.1 Pro Preview leads GPT-6.1 Sol in Long context at #12 against #18.
Vision: As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 3.1 Pro Preview in Vision at #1 against #25.
Factuality: As of Oct 15, 2026, Gemini 3.1 Pro Preview leads GPT-6.1 Sol in Factuality at #21 against #33.
Abstraction (ARC): As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 3.1 Pro Preview in Abstraction (ARC) at #1 against #2.
Gemini 3.1 Pro Preview · GPT-6.1 Sol
Gemini 3.1 Pro Preview or GPT-6.1 Sol?
As of Oct 15, 2026, Gemini 3.1 Pro Preview leads GPT-6.1 Sol in 4 of 8 shared categories: General LLM, Reasoning, Long context, and Factuality.
Gemini 3.1 Pro Preview or GPT-6.1 Sol for General LLM?
As of Oct 15, 2026, Gemini 3.1 Pro Preview leads GPT-6.1 Sol in General LLM at #15 against #18.
Gemini 3.1 Pro Preview or GPT-6.1 Sol for Reasoning?
As of Oct 15, 2026, Gemini 3.1 Pro Preview leads GPT-6.1 Sol in Reasoning at #14 against #15.
Gemini 3.1 Pro Preview or GPT-6.1 Sol for Science?
As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 3.1 Pro Preview in Science at #4 against #7.