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Head to head

Gemini 3.8 Flash vs GPT-6 Luna.

Verdict by category, tale of the tape, shared benchmarks only, and cost at three workloads — all from the tracked data.

Google DeepMind
VS

Verdict by category

CategoryGemini 3.8 FlashGPT-6 LunaWinner
League Score57.855.1Gemini 3.8 Flash
Coding (SWE-bench %)———
Reasoning (GPQA %)95.0——
Context (tokens)10485761050000GPT-6 Luna
Speed (tok/s)———
Price (blended $/1M)$1.50$0.20GPT-6 Luna (cheaper)

Tale of the tape

SpecGemini 3.8 FlashGPT-6 Luna
MakerGoogle DeepMindOpenAI
ReleasedSep 2, 2026Sep 22, 2026
League Score5855
Context1,048,576 tokens1,050,000 tokens
Max output65,536128,000
$/1M input$0.75$0.10
$/1M output$3.75$0.50
WeightsClosedClosed
Speed——

Head-to-head benchmarks (shared only)

BenchmarkGemini 3.8 FlashGPT-6 Luna
LiveBench overall59.264.6

Cost at three workloads

WorkloadGemini 3.8 FlashGPT-6 Luna
Light — 1M in / 250K out$1.69$0.23
Standard — 10M in / 2.5M out$16.88$2.25
Long-context — 50M in / 5M out$56.25$7.50

The pick

Pick Gemini 3.8 Flash if you want the higher overall League Score.

Pick GPT-6 Luna if you need the bigger context window; you want the lower running cost.

All figures from the model database — sources and dates on each model page. Cost your own workload or compare a different pair.

Frequently asked questions

Which is better overall, Gemini 3.8 Flash or GPT-6 Luna?

Gemini 3.8 Flash leads on overall League Score, 58 to 55 — a gap of 3 points on a composite of sourced benchmarks. That is overall form, not every category: check the per-category verdicts before choosing.

Which is cheaper, Gemini 3.8 Flash or GPT-6 Luna?

GPT-6 Luna is cheaper: $0.20 vs $1.50 blended per 1M tokens (3:1 input/output mix) — about 7.5x less per token.

Which has the bigger context window, Gemini 3.8 Flash or GPT-6 Luna?

GPT-6 Luna, with 1.1M of context against 1M for Gemini 3.8 Flash.

Are Gemini 3.8 Flash and GPT-6 Luna open source?

Gemini 3.8 Flash is closed weights — API access only; GPT-6 Luna is closed weights — API access only.