DeepSeek V3.2 vs GPT-5.5
As of Oct 15, 2026, DeepSeek V3.2 leads GPT-5.5 in 0 of 5 shared categories.
DeepSeek V3.2
#89 Best current rank: #89 in Factuality, as of Oct 15, 2026.
GPT-5.5
Close. Near-SOTA in Factuality, rank #5.
| Category | DeepSeek V3.2 | GPT-5.5 |
|---|---|---|
| General LLM | #112 · #112 in General LLM Margin 59.57446808510638 LMArena leaderboard dataset · Oct 13, 2026 | #22 · Was SOTA · General LLM Margin 11.702127659574472 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #104 · #104 in Reasoning Margin 55.851063829787236 LMArena leaderboard dataset · Oct 13, 2026 | #26 · #26 in Reasoning Margin 14.36170212765957 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 | #104 · #104 in Coding › Web dev Margin 82.4 LMArena leaderboard dataset · Oct 13, 2026 | #48 · #48 in Coding › Web dev Margin 37.6 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #102 · #102 in Long context Margin 54.25531914893618 LMArena leaderboard dataset · Oct 13, 2026 | #26 · Was SOTA · Long context Margin 13.829787234042556 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | — | #10 · Was SOTA · Vision Margin 28.94736842105263 Epoch AI benchmarking hub · Apr 23, 2026 |
| Factuality | #89 · #89 in Factuality Margin 52.325581395348834 LMArena leaderboard dataset · Oct 13, 2026 | #5 · Near-SOTA · Factuality Margin 3.4883720930232442 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | — | #7 · #7 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 23, 2026 |
DeepSeek V3.2: $0.39425 per 1M blended tokens.
GPT-5.5: $11.25 per 1M blended tokens.
DeepSeek V3.2: open weights.
GPT-5.5: closed weights.
General LLM: As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 in General LLM at #22 against #112.
Reasoning: As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 in Reasoning at #26 against #104.
Coding › Web dev: As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 in Coding › Web dev at #48 against #104.
Long context: As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 in Long context at #26 against #102.
Factuality: As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 in Factuality at #5 against #89.
DeepSeek V3.2 or GPT-5.5?
As of Oct 15, 2026, DeepSeek V3.2 leads GPT-5.5 in 0 of 5 shared categories.
DeepSeek V3.2 or GPT-5.5 for General LLM?
As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 in General LLM at #22 against #112.
DeepSeek V3.2 or GPT-5.5 for Reasoning?
As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 in Reasoning at #26 against #104.
DeepSeek V3.2 or GPT-5.5 for Coding › Web dev?
As of Oct 15, 2026, GPT-5.5 leads DeepSeek V3.2 in Coding › Web dev at #48 against #104.