Gemini 3.6 Flash vs GPT-5.6 Luna
As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in 7 of 8 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
Gemini 3.6 Flash
#9 Best recorded rank: #9 in Science, as of Oct 14, 2026.
GPT-5.6 Luna
#16 Best current rank: #16 in Coding, as of Oct 14, 2026.
| Category | Gemini 3.6 Flash | GPT-5.6 Luna |
|---|---|---|
| General LLM | #19 · #19 in General LLM Margin 12.925170068027214 LMArena leaderboard dataset · Oct 13, 2026 | #53 · #53 in General LLM Margin 36.054421768707485 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #24 · #24 in Reasoning Margin 17.123287671232873 LMArena leaderboard dataset · Oct 13, 2026 | #55 · #55 in Reasoning Margin 38.35616438356164 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 | #9 · #9 in Science Margin — Epoch AI benchmarking hub · Jul 21, 2026 | #25 · #25 in Science Margin — Epoch AI benchmarking hub · Jul 9, 2026 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #16 · #16 in Coding Margin 77.27272727272728 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Agentic | — | #16 · #16 in Coding › Agentic Margin 77.27272727272728 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Web dev | #39 · #39 in Coding › Web dev Margin 35.51401869158879 LMArena leaderboard dataset · Oct 13, 2026 | #43 · #43 in Coding › Web dev Margin 39.25233644859813 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #26 · #26 in Long context Margin 17.687074829931973 LMArena leaderboard dataset · Oct 13, 2026 | #65 · #65 in Long context Margin 44.21768707482993 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #29 · #29 in Vision Margin 86.84210526315789 Epoch AI benchmarking hub · Jul 21, 2026 | #19 · #19 in Vision Margin 52.63157894736842 Epoch AI benchmarking hub · Jul 9, 2026 |
| Factuality | #20 · #20 in Factuality Margin 15.671641791044777 LMArena leaderboard dataset · Oct 13, 2026 | #35 · #35 in Factuality Margin 26.86567164179104 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #13 · #13 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Jul 21, 2026 | #19 · #19 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Jul 9, 2026 |
Gemini 3.6 Flash: $1.5 per 1M blended tokens.
GPT-5.6 Luna: $0.44999999999999996 per 1M blended tokens.
Gemini 3.6 Flash: closed weights.
GPT-5.6 Luna: closed weights.
General LLM: As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in General LLM at #19 against #53.
Reasoning: As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in Reasoning at #24 against #55.
Science: As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in Science at #9 against #25.
Coding › Web dev: As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in Coding › Web dev at #39 against #43.
Long context: As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in Long context at #26 against #65.
Vision: As of Oct 14, 2026, GPT-5.6 Luna leads Gemini 3.6 Flash in Vision at #19 against #29.
Factuality: As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in Factuality at #20 against #35.
Abstraction (ARC): As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in Abstraction (ARC) at #13 against #19.
Gemini 3.6 Flash · GPT-5.6 Luna
Gemini 3.6 Flash or GPT-5.6 Luna?
As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in 7 of 8 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
Gemini 3.6 Flash or GPT-5.6 Luna for General LLM?
As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in General LLM at #19 against #53.
Gemini 3.6 Flash or GPT-5.6 Luna for Reasoning?
As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in Reasoning at #24 against #55.
Gemini 3.6 Flash or GPT-5.6 Luna for Science?
As of Oct 14, 2026, Gemini 3.6 Flash leads GPT-5.6 Luna in Science at #9 against #25.