DeepSeek V4.1 Flash vs GPT-5.2
As of Oct 14, 2026, DeepSeek V4.1 Flash leads GPT-5.2 in 6 of 7 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
DeepSeek V4.1 Flash
Yes. Yes on General LLM (best per dollar); Reasoning (best per dollar). Not the overall leader.
GPT-5.2
#14 Best current rank: #14 in Math, as of Oct 14, 2026.
| Category | DeepSeek V4.1 Flash | GPT-5.2 |
|---|---|---|
| General LLM | #29 · #29 in General LLM Margin 19.72789115646259 LMArena leaderboard dataset · Oct 13, 2026 | #74 · #74 in General LLM Margin 50.34013605442177 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #27 · #27 in Reasoning Margin 19.178082191780817 LMArena leaderboard dataset · Oct 13, 2026 | #70 · #70 in Reasoning Margin 48.63013698630137 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #14 · #14 in Math Margin 28.888888888888886 Epoch AI benchmarking hub · Dec 11, 2025 |
| Science | #36 · #36 in Science Margin — Epoch AI benchmarking hub · Sep 9, 2026 | #26 · #26 in Science Margin — Epoch AI benchmarking hub · Dec 11, 2025 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #— · Not enough data Margin — Epoch AI benchmarking hub · Dec 11, 2025 |
| Coding › Web dev | #19 · #19 in Coding › Web dev Margin 16.822429906542055 LMArena leaderboard dataset · Oct 13, 2026 | #67 · #67 in Coding › Web dev Margin 61.6822429906542 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #32 · #32 in Long context Margin 21.768707482993193 LMArena leaderboard dataset · Oct 13, 2026 | #80 · #80 in Long context Margin 54.42176870748299 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #21 · #21 in Vision Margin 57.89473684210526 Epoch AI benchmarking hub · Sep 9, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 |
| Factuality | #22 · #22 in Factuality Margin 17.164179104477626 LMArena leaderboard dataset · Oct 13, 2026 | #65 · #65 in Factuality Margin 49.25373134328358 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #8 · #8 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 9, 2026 | #24 · #24 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Dec 11, 2025 |
DeepSeek V4.1 Flash: $0.23463 per 1M blended tokens.
GPT-5.2: $4.8125 per 1M blended tokens.
DeepSeek V4.1 Flash: open weights.
GPT-5.2: closed weights.
General LLM: As of Oct 14, 2026, DeepSeek V4.1 Flash leads GPT-5.2 in General LLM at #29 against #74.
Reasoning: As of Oct 14, 2026, DeepSeek V4.1 Flash leads GPT-5.2 in Reasoning at #27 against #70.
Science: As of Oct 14, 2026, GPT-5.2 leads DeepSeek V4.1 Flash in Science at #26 against #36.
Coding › Web dev: As of Oct 14, 2026, DeepSeek V4.1 Flash leads GPT-5.2 in Coding › Web dev at #19 against #67.
Long context: As of Oct 14, 2026, DeepSeek V4.1 Flash leads GPT-5.2 in Long context at #32 against #80.
Factuality: As of Oct 14, 2026, DeepSeek V4.1 Flash leads GPT-5.2 in Factuality at #22 against #65.
Abstraction (ARC): As of Oct 14, 2026, DeepSeek V4.1 Flash leads GPT-5.2 in Abstraction (ARC) at #8 against #24.
DeepSeek V4.1 Flash or GPT-5.2?
As of Oct 14, 2026, DeepSeek V4.1 Flash leads GPT-5.2 in 6 of 7 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
DeepSeek V4.1 Flash or GPT-5.2 for General LLM?
As of Oct 14, 2026, DeepSeek V4.1 Flash leads GPT-5.2 in General LLM at #29 against #74.
DeepSeek V4.1 Flash or GPT-5.2 for Reasoning?
As of Oct 14, 2026, DeepSeek V4.1 Flash leads GPT-5.2 in Reasoning at #27 against #70.
DeepSeek V4.1 Flash or GPT-5.2 for Science?
As of Oct 14, 2026, GPT-5.2 leads DeepSeek V4.1 Flash in Science at #26 against #36.