Gemini 2.5 Pro vs GPT-6.1 Sol
As of Oct 15, 2026, Gemini 2.5 Pro leads GPT-6.1 Sol in 0 of 7 shared categories.
| Category | Gemini 2.5 Pro | GPT-6.1 Sol |
|---|---|---|
| General LLM | #78 · Was SOTA · General LLM Margin 41.48936170212766 LMArena leaderboard dataset · Oct 13, 2026 | #18 · #18 in General LLM Margin 9.574468085106389 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #92 · Was SOTA · Reasoning Margin 49.46808510638298 LMArena leaderboard dataset · Oct 13, 2026 | #15 · #15 in Reasoning Margin 8.510638297872347 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 | #58 · #58 in Science Margin — Epoch AI benchmarking hub · Jun 17, 2025 | #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 | #119 · #119 in Coding › Web dev Margin 94.4 LMArena leaderboard dataset · Oct 13, 2026 | #4 · Near-SOTA · Coding › Web dev Margin 2.4000000000000057 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #72 · Was SOTA · Long context Margin 38.297872340425535 LMArena leaderboard dataset · Oct 13, 2026 | #18 · #18 in Long context Margin 9.574468085106389 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 | #37 · #37 in Factuality Margin 22.093023255813947 LMArena leaderboard dataset · Oct 13, 2026 | #33 · #33 in Factuality Margin 19.767441860465127 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #48 · #48 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Jun 17, 2025 | #1 · #1 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 29, 2026 |
Gemini 2.5 Pro: $3.4375000000000004 per 1M blended tokens.
GPT-6.1 Sol: $4.000000000000001 per 1M blended tokens.
Gemini 2.5 Pro: closed weights.
GPT-6.1 Sol: closed weights.
General LLM: As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 2.5 Pro in General LLM at #18 against #78.
Reasoning: As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 2.5 Pro in Reasoning at #15 against #92.
Science: As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 2.5 Pro in Science at #4 against #58.
Coding › Web dev: As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 2.5 Pro in Coding › Web dev at #4 against #119.
Long context: As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 2.5 Pro in Long context at #18 against #72.
Factuality: As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 2.5 Pro in Factuality at #33 against #37.
Abstraction (ARC): As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 2.5 Pro in Abstraction (ARC) at #1 against #48.
Gemini 2.5 Pro or GPT-6.1 Sol?
As of Oct 15, 2026, Gemini 2.5 Pro leads GPT-6.1 Sol in 0 of 7 shared categories.
Gemini 2.5 Pro or GPT-6.1 Sol for General LLM?
As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 2.5 Pro in General LLM at #18 against #78.
Gemini 2.5 Pro or GPT-6.1 Sol for Reasoning?
As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 2.5 Pro in Reasoning at #15 against #92.
Gemini 2.5 Pro or GPT-6.1 Sol for Science?
As of Oct 15, 2026, GPT-6.1 Sol leads Gemini 2.5 Pro in Science at #4 against #58.