DeepSeek V4.1 Flash vs Gemini 3.7 Flash
As of Oct 14, 2026, DeepSeek V4.1 Flash leads Gemini 3.7 Flash in 1 of 8 shared categories: Coding › Web dev.
DeepSeek V4.1 Flash
Yes. Yes on General LLM (best per dollar); Reasoning (best per dollar). Not the overall leader.
Gemini 3.7 Flash
Yes. Yes on Vision (best per dollar). Not the overall leader.
| Category | DeepSeek V4.1 Flash | Gemini 3.7 Flash |
|---|---|---|
| General LLM | #29 · #29 in General LLM Margin 19.72789115646259 LMArena leaderboard dataset · Oct 13, 2026 | #14 · #14 in General LLM Margin 9.523809523809518 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #27 · #27 in Reasoning Margin 19.178082191780817 LMArena leaderboard dataset · Oct 13, 2026 | #16 · #16 in Reasoning Margin 11.643835616438352 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 | #5 · #5 in Science Margin — Epoch AI benchmarking hub · Aug 13, 2026 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #20 · #20 in Coding Margin 100 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Agentic | — | #20 · #20 in Coding › Agentic Margin 100 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Web dev | #19 · #19 in Coding › Web dev Margin 16.822429906542055 LMArena leaderboard dataset · Oct 13, 2026 | #25 · #25 in Coding › Web dev Margin 22.429906542056074 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #32 · #32 in Long context Margin 21.768707482993193 LMArena leaderboard dataset · Oct 13, 2026 | #14 · #14 in Long context Margin 9.523809523809518 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #21 · #21 in Vision Margin 57.89473684210526 Epoch AI benchmarking hub · Sep 9, 2026 | #14 · #14 in Vision Margin 39.473684210526315 Epoch AI benchmarking hub · Aug 13, 2026 |
| Factuality | #22 · #22 in Factuality Margin 17.164179104477626 LMArena leaderboard dataset · Oct 13, 2026 | #15 · Was SOTA · Factuality Margin 11.940298507462686 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #8 · #8 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 9, 2026 | #6 · #6 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Aug 13, 2026 |
DeepSeek V4.1 Flash: $0.23463 per 1M blended tokens.
Gemini 3.7 Flash: $1.5 per 1M blended tokens.
DeepSeek V4.1 Flash: open weights.
Gemini 3.7 Flash: closed weights.
General LLM: As of Oct 14, 2026, Gemini 3.7 Flash leads DeepSeek V4.1 Flash in General LLM at #14 against #29.
Reasoning: As of Oct 14, 2026, Gemini 3.7 Flash leads DeepSeek V4.1 Flash in Reasoning at #16 against #27.
Science: As of Oct 14, 2026, Gemini 3.7 Flash leads DeepSeek V4.1 Flash in Science at #5 against #36.
Coding › Web dev: As of Oct 14, 2026, DeepSeek V4.1 Flash leads Gemini 3.7 Flash in Coding › Web dev at #19 against #25.
Long context: As of Oct 14, 2026, Gemini 3.7 Flash leads DeepSeek V4.1 Flash in Long context at #14 against #32.
Vision: As of Oct 14, 2026, Gemini 3.7 Flash leads DeepSeek V4.1 Flash in Vision at #14 against #21.
Factuality: As of Oct 14, 2026, Gemini 3.7 Flash leads DeepSeek V4.1 Flash in Factuality at #15 against #22.
Abstraction (ARC): As of Oct 14, 2026, Gemini 3.7 Flash leads DeepSeek V4.1 Flash in Abstraction (ARC) at #6 against #8.
DeepSeek V4.1 Flash · Gemini 3.7 Flash
DeepSeek V4.1 Flash or Gemini 3.7 Flash?
As of Oct 14, 2026, DeepSeek V4.1 Flash leads Gemini 3.7 Flash in 1 of 8 shared categories: Coding › Web dev.
DeepSeek V4.1 Flash or Gemini 3.7 Flash for General LLM?
As of Oct 14, 2026, Gemini 3.7 Flash leads DeepSeek V4.1 Flash in General LLM at #14 against #29.
DeepSeek V4.1 Flash or Gemini 3.7 Flash for Reasoning?
As of Oct 14, 2026, Gemini 3.7 Flash leads DeepSeek V4.1 Flash in Reasoning at #16 against #27.
DeepSeek V4.1 Flash or Gemini 3.7 Flash for Science?
As of Oct 14, 2026, Gemini 3.7 Flash leads DeepSeek V4.1 Flash in Science at #5 against #36.