DeepSeek V3.2 Exp vs GPT-6.1 Sol
As of Oct 14, 2026, DeepSeek V3.2 Exp leads GPT-6.1 Sol in 0 of 5 shared categories.
| Category | DeepSeek V3.2 Exp | GPT-6.1 Sol |
|---|---|---|
| General LLM | #91 · #91 in General LLM Margin 61.904761904761905 LMArena leaderboard dataset · Oct 13, 2026 | #18 · #18 in General LLM Margin 12.244897959183675 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #81 · #81 in Reasoning Margin 56.16438356164384 LMArena leaderboard dataset · Oct 13, 2026 | #15 · #15 in Reasoning Margin 10.958904109589042 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 | — | #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 | #98 · #98 in Coding › Web dev Margin 90.65420560747664 LMArena leaderboard dataset · Oct 13, 2026 | #4 · Near-SOTA · Coding › Web dev Margin 2.803738317757009 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #81 · Was SOTA · Long context Margin 55.10204081632653 LMArena leaderboard dataset · Oct 13, 2026 | #17 · #17 in Long context Margin 11.564625850340136 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | — | #1 · Co-SOTA · Vision Margin 0 Epoch AI benchmarking hub · Sep 29, 2026 |
| Factuality | #73 · #73 in Factuality Margin 55.223880597014926 LMArena leaderboard dataset · Oct 13, 2026 | #29 · #29 in Factuality Margin 22.388059701492537 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | — | #1 · #1 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 29, 2026 |
DeepSeek V3.2 Exp: $0.30500000000000005 per 1M blended tokens.
GPT-6.1 Sol: $4.000000000000001 per 1M blended tokens.
DeepSeek V3.2 Exp: open weights.
GPT-6.1 Sol: closed weights.
General LLM: As of Oct 14, 2026, GPT-6.1 Sol leads DeepSeek V3.2 Exp in General LLM at #18 against #91.
Reasoning: As of Oct 14, 2026, GPT-6.1 Sol leads DeepSeek V3.2 Exp in Reasoning at #15 against #81.
Coding › Web dev: As of Oct 14, 2026, GPT-6.1 Sol leads DeepSeek V3.2 Exp in Coding › Web dev at #4 against #98.
Long context: As of Oct 14, 2026, GPT-6.1 Sol leads DeepSeek V3.2 Exp in Long context at #17 against #81.
Factuality: As of Oct 14, 2026, GPT-6.1 Sol leads DeepSeek V3.2 Exp in Factuality at #29 against #73.
DeepSeek V3.2 Exp · GPT-6.1 Sol
DeepSeek V3.2 Exp or GPT-6.1 Sol?
As of Oct 14, 2026, DeepSeek V3.2 Exp leads GPT-6.1 Sol in 0 of 5 shared categories.
DeepSeek V3.2 Exp or GPT-6.1 Sol for General LLM?
As of Oct 14, 2026, GPT-6.1 Sol leads DeepSeek V3.2 Exp in General LLM at #18 against #91.
DeepSeek V3.2 Exp or GPT-6.1 Sol for Reasoning?
As of Oct 14, 2026, GPT-6.1 Sol leads DeepSeek V3.2 Exp in Reasoning at #15 against #81.
DeepSeek V3.2 Exp or GPT-6.1 Sol for Coding › Web dev?
As of Oct 14, 2026, GPT-6.1 Sol leads DeepSeek V3.2 Exp in Coding › Web dev at #4 against #98.