DeepSeek V4.1 Flash vs Gemini 3.5 Flash
As of Oct 14, 2026, DeepSeek V4.1 Flash leads Gemini 3.5 Flash in 4 of 8 shared categories: Reasoning, Coding › Web dev, Vision, and Abstraction (ARC).
DeepSeek V4.1 Flash
Yes. Yes on General LLM (best per dollar); Reasoning (best per dollar). Not the overall leader.
Gemini 3.5 Flash
#12 Best recorded rank: #12 in Abstraction (ARC), as of Oct 14, 2026.
| Category | DeepSeek V4.1 Flash | Gemini 3.5 Flash |
|---|---|---|
| General LLM | #29 · #29 in General LLM Margin 19.72789115646259 LMArena leaderboard dataset · Oct 13, 2026 | #24 · #24 in General LLM Margin 16.326530612244895 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #27 · #27 in Reasoning Margin 19.178082191780817 LMArena leaderboard dataset · Oct 13, 2026 | #32 · #32 in Reasoning Margin 22.602739726027394 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 | #36 · #36 in Science Margin — Epoch AI benchmarking hub · Sep 9, 2026 | #18 · #18 in Science Margin — Epoch AI benchmarking hub · May 19, 2026 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #— · Not enough data Margin — Epoch AI benchmarking hub · May 19, 2026 |
| Coding › Web dev | #19 · #19 in Coding › Web dev Margin 16.822429906542055 LMArena leaderboard dataset · Oct 13, 2026 | #48 · #48 in Coding › Web dev Margin 43.925233644859816 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #32 · #32 in Long context Margin 21.768707482993193 LMArena leaderboard dataset · Oct 13, 2026 | #28 · #28 in Long context Margin 19.04761904761905 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #21 · #21 in Vision Margin 57.89473684210526 Epoch AI benchmarking hub · Sep 9, 2026 | #29 · #29 in Vision Margin 86.84210526315789 Epoch AI benchmarking hub · May 19, 2026 |
| Factuality | #22 · #22 in Factuality Margin 17.164179104477626 LMArena leaderboard dataset · Oct 13, 2026 | #13 · #13 in Factuality Margin 10.447761194029852 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #8 · #8 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 9, 2026 | #12 · #12 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · May 19, 2026 |
DeepSeek V4.1 Flash: $0.26249999999999996 per 1M blended tokens.
Gemini 3.5 Flash: $3.375 per 1M blended tokens.
DeepSeek V4.1 Flash: open weights.
Gemini 3.5 Flash: closed weights.
General LLM: As of Oct 14, 2026, Gemini 3.5 Flash leads DeepSeek V4.1 Flash in General LLM at #24 against #29.
Reasoning: As of Oct 14, 2026, DeepSeek V4.1 Flash leads Gemini 3.5 Flash in Reasoning at #27 against #32.
Science: As of Oct 14, 2026, Gemini 3.5 Flash leads DeepSeek V4.1 Flash in Science at #18 against #36.
Coding › Web dev: As of Oct 14, 2026, DeepSeek V4.1 Flash leads Gemini 3.5 Flash in Coding › Web dev at #19 against #48.
Long context: As of Oct 14, 2026, Gemini 3.5 Flash leads DeepSeek V4.1 Flash in Long context at #28 against #32.
Vision: As of Oct 14, 2026, DeepSeek V4.1 Flash leads Gemini 3.5 Flash in Vision at #21 against #29.
Factuality: As of Oct 14, 2026, Gemini 3.5 Flash leads DeepSeek V4.1 Flash in Factuality at #13 against #22.
Abstraction (ARC): As of Oct 14, 2026, DeepSeek V4.1 Flash leads Gemini 3.5 Flash in Abstraction (ARC) at #8 against #12.
DeepSeek V4.1 Flash · Gemini 3.5 Flash
DeepSeek V4.1 Flash or Gemini 3.5 Flash?
As of Oct 14, 2026, DeepSeek V4.1 Flash leads Gemini 3.5 Flash in 4 of 8 shared categories: Reasoning, Coding › Web dev, Vision, and Abstraction (ARC).
DeepSeek V4.1 Flash or Gemini 3.5 Flash for General LLM?
As of Oct 14, 2026, Gemini 3.5 Flash leads DeepSeek V4.1 Flash in General LLM at #24 against #29.
DeepSeek V4.1 Flash or Gemini 3.5 Flash for Reasoning?
As of Oct 14, 2026, DeepSeek V4.1 Flash leads Gemini 3.5 Flash in Reasoning at #27 against #32.
DeepSeek V4.1 Flash or Gemini 3.5 Flash for Science?
As of Oct 14, 2026, Gemini 3.5 Flash leads DeepSeek V4.1 Flash in Science at #18 against #36.