DeepSeek V3.2 Exp vs GPT-5.5
As of Oct 15, 2026, DeepSeek V3.2 Exp leads GPT-5.5 in 0 of 5 shared categories.
DeepSeek V3.2 Exp
It used to be. Was SOTA in Reasoning.
GPT-5.5
It used to be. Was SOTA in General LLM.
| Category | DeepSeek V3.2 Exp | GPT-5.5 |
|---|---|---|
| General LLM | #91 · #91 in General LLM Margin 61.904761904761905 LMArena leaderboard dataset · Oct 13, 2026 | #21 · Was SOTA · General LLM Margin 14.285714285714292 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #81 · #81 in Reasoning Margin 56.16438356164384 LMArena leaderboard dataset · Oct 13, 2026 | #25 · #25 in Reasoning Margin 17.808219178082197 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 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Web dev | #98 · #98 in Coding › Web dev Margin 90.65420560747664 LMArena leaderboard dataset · Oct 13, 2026 | #44 · #44 in Coding › Web dev Margin 40.18691588785047 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #81 · Was SOTA · Long context Margin 55.10204081632653 LMArena leaderboard dataset · Oct 13, 2026 | #23 · Was SOTA · Long context Margin 15.646258503401356 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | — | #10 · Was SOTA · Vision Margin 28.94736842105263 Epoch AI benchmarking hub · Apr 23, 2026 |
| Factuality | #73 · #73 in Factuality Margin 55.223880597014926 LMArena leaderboard dataset · Oct 13, 2026 | #5 · Was SOTA · Factuality Margin 4.477611940298502 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | — | #7 · #7 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 23, 2026 |
DeepSeek V3.2 Exp: $0.30500000000000005 per 1M blended tokens.
GPT-5.5: $11.25 per 1M blended tokens.
DeepSeek V3.2 Exp: open weights.
GPT-5.5: closed weights.
General LLM: As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 Exp in General LLM at #21 against #91.
Reasoning: As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 Exp in Reasoning at #25 against #81.
Coding › Web dev: As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 Exp in Coding › Web dev at #44 against #98.
Long context: As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 Exp in Long context at #23 against #81.
Factuality: As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 Exp in Factuality at #5 against #73.
DeepSeek V3.2 Exp or GPT-5.5?
As of Oct 15, 2026, DeepSeek V3.2 Exp leads GPT-5.5 in 0 of 5 shared categories.
DeepSeek V3.2 Exp or GPT-5.5 for General LLM?
As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 Exp in General LLM at #21 against #91.
DeepSeek V3.2 Exp or GPT-5.5 for Reasoning?
As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 Exp in Reasoning at #25 against #81.
DeepSeek V3.2 Exp or GPT-5.5 for Coding › Web dev?
As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 Exp in Coding › Web dev at #44 against #98.