Gemini 3.7 Flash vs GPT-5.2
As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in 7 of 7 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
Gemini 3.7 Flash
Yes. Yes on Vision (best per dollar). Not the overall leader.
GPT-5.2
#14 Best current rank: #14 in Math, as of Oct 14, 2026.
| Category | Gemini 3.7 Flash | GPT-5.2 |
|---|---|---|
| General LLM | #14 · #14 in General LLM Margin 9.523809523809518 LMArena leaderboard dataset · Oct 13, 2026 | #74 · #74 in General LLM Margin 50.34013605442177 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #16 · #16 in Reasoning Margin 11.643835616438352 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 | #5 · #5 in Science Margin — Epoch AI benchmarking hub · Aug 13, 2026 | #26 · #26 in Science Margin — Epoch AI benchmarking hub · Dec 11, 2025 |
| Coding | #20 · #20 in Coding Margin 100 Terminal-Bench Harbor Hub · Oct 6, 2026 | #— · Not enough data Margin — Epoch AI benchmarking hub · Dec 11, 2025 |
| Coding › Agentic | #20 · #20 in Coding › Agentic Margin 100 Terminal-Bench Harbor Hub · Oct 6, 2026 | — |
| Coding › Web dev | #25 · #25 in Coding › Web dev Margin 22.429906542056074 LMArena leaderboard dataset · Oct 13, 2026 | #67 · #67 in Coding › Web dev Margin 61.6822429906542 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #14 · #14 in Long context Margin 9.523809523809518 LMArena leaderboard dataset · Oct 13, 2026 | #80 · #80 in Long context Margin 54.42176870748299 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #14 · #14 in Vision Margin 39.473684210526315 Epoch AI benchmarking hub · Aug 13, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 |
| Factuality | #15 · Was SOTA · Factuality Margin 11.940298507462686 LMArena leaderboard dataset · Oct 13, 2026 | #65 · #65 in Factuality Margin 49.25373134328358 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #6 · #6 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Aug 13, 2026 | #24 · #24 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Dec 11, 2025 |
Gemini 3.7 Flash: $1.5 per 1M blended tokens.
GPT-5.2: $4.8125 per 1M blended tokens.
Gemini 3.7 Flash: closed weights.
GPT-5.2: closed weights.
General LLM: As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in General LLM at #14 against #74.
Reasoning: As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in Reasoning at #16 against #70.
Science: As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in Science at #5 against #26.
Coding › Web dev: As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in Coding › Web dev at #25 against #67.
Long context: As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in Long context at #14 against #80.
Factuality: As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in Factuality at #15 against #65.
Abstraction (ARC): As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in Abstraction (ARC) at #6 against #24.
Gemini 3.7 Flash or GPT-5.2?
As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in 7 of 7 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
Gemini 3.7 Flash or GPT-5.2 for General LLM?
As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in General LLM at #14 against #74.
Gemini 3.7 Flash or GPT-5.2 for Reasoning?
As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in Reasoning at #16 against #70.
Gemini 3.7 Flash or GPT-5.2 for Science?
As of Oct 14, 2026, Gemini 3.7 Flash leads GPT-5.2 in Science at #5 against #26.