Gemini 3.8 Flash vs GPT-5.6 Luna
As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in 10 of 10 shared categories: General LLM, Reasoning, Science, Coding, Coding › Agentic, Coding › Web dev, Long context, Vision, Factuality, and Abstraction (ARC).
Gemini 3.8 Flash
Yes. Yes on General LLM (best per dollar); Reasoning (best per dollar). Not the overall leader.
GPT-5.6 Luna
#16 Best current rank: #16 in Coding, as of Oct 14, 2026.
| Category | Gemini 3.8 Flash | GPT-5.6 Luna |
|---|---|---|
| General LLM | #7 · Was SOTA · General LLM Margin 4.761904761904759 LMArena leaderboard dataset · Oct 13, 2026 | #53 · #53 in General LLM Margin 36.054421768707485 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #6 · #6 in Reasoning Margin 4.794520547945211 LMArena leaderboard dataset · Oct 13, 2026 | #55 · #55 in Reasoning Margin 38.35616438356164 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #5 · #5 in Math Margin 8.888888888888886 Epoch AI benchmarking hub · Sep 2, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Science | #4 · #4 in Science Margin — Epoch AI benchmarking hub · Sep 2, 2026 | #25 · #25 in Science Margin — Epoch AI benchmarking hub · Jul 9, 2026 |
| Coding | #15 · #15 in Coding Margin 72.72727272727272 Terminal-Bench Harbor Hub · Oct 6, 2026 | #16 · #16 in Coding Margin 77.27272727272728 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Agentic | #15 · #15 in Coding › Agentic Margin 72.72727272727272 Terminal-Bench Harbor Hub · Oct 6, 2026 | #16 · #16 in Coding › Agentic Margin 77.27272727272728 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Web dev | #27 · #27 in Coding › Web dev Margin 24.29906542056075 LMArena leaderboard dataset · Oct 13, 2026 | #43 · #43 in Coding › Web dev Margin 39.25233644859813 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #5 · Near-SOTA · Long context Margin 3.401360544217681 LMArena leaderboard dataset · Oct 13, 2026 | #65 · #65 in Long context Margin 44.21768707482993 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #15 · #15 in Vision Margin 42.10526315789474 Epoch AI benchmarking hub · Sep 2, 2026 | #19 · #19 in Vision Margin 52.63157894736842 Epoch AI benchmarking hub · Jul 9, 2026 |
| Factuality | #17 · #17 in Factuality Margin 13.43283582089552 LMArena leaderboard dataset · Oct 13, 2026 | #35 · #35 in Factuality Margin 26.86567164179104 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #1 · #1 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 2, 2026 | #19 · #19 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Jul 9, 2026 |
Gemini 3.8 Flash: $1.5 per 1M blended tokens.
GPT-5.6 Luna: $0.44999999999999996 per 1M blended tokens.
Gemini 3.8 Flash: closed weights.
GPT-5.6 Luna: closed weights.
General LLM: As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in General LLM at #7 against #53.
Reasoning: As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in Reasoning at #6 against #55.
Science: As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in Science at #4 against #25.
Coding: As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in Coding at #15 against #16.
Coding › Agentic: As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in Coding › Agentic at #15 against #16.
Coding › Web dev: As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in Coding › Web dev at #27 against #43.
Long context: As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in Long context at #5 against #65.
Vision: As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in Vision at #15 against #19.
Factuality: As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in Factuality at #17 against #35.
Abstraction (ARC): As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in Abstraction (ARC) at #1 against #19.
Gemini 3.8 Flash · GPT-5.6 Luna
Gemini 3.8 Flash or GPT-5.6 Luna?
As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in 10 of 10 shared categories: General LLM, Reasoning, Science, Coding, Coding › Agentic, Coding › Web dev, Long context, Vision, Factuality, and Abstraction (ARC).
Gemini 3.8 Flash or GPT-5.6 Luna for General LLM?
As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in General LLM at #7 against #53.
Gemini 3.8 Flash or GPT-5.6 Luna for Reasoning?
As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in Reasoning at #6 against #55.
Gemini 3.8 Flash or GPT-5.6 Luna for Science?
As of Oct 14, 2026, Gemini 3.8 Flash leads GPT-5.6 Luna in Science at #4 against #25.