Compare / head-to-head
Gemini 3.1 Flash-LitevsGPT-5.6 Luna
GPT-5.6 Luna leads 3 of 4 shared benchmarks. GPT-5.6 Luna is 1.3x cheaper per token. GPT-5.6 Luna has the larger context window (1.1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
1 – 3
GPT-5.6 Luna leads
Cheaper per token
GPT-5.6 Luna
1.3x cheaper, input + output
Larger context
GPT-5.6 Luna
1.1M tokens
Provider uptime (30d)
100% · 94.4444%
Google · OpenAI
Gemini 3.1 Flash-Lite
Google · released 2026-03-03
textvisionaudio
GPT-5.6 Luna
OpenAI · released 2026-07-09
textvision
Quality
Benchmark matrix
4 shared · 5 only Gemini 3.1 Flash-Lite · 3 only GPT-5.6 Luna| Benchmark | Gemini 3.1 Flash-Lite | GPT-5.6 Luna | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 4 | ||||
| GPQA Diamond | 86.9% ↗ | 92.3% ↗ | -5.4 pt | GPT-5.6 Luna |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 27.7% ↗epoch | 82.1% ↗epoch | -54.4 pt | GPT-5.6 Luna |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 80% ↗epoch | 98.3% ↗epoch | -18.3 pt | GPT-5.6 Luna |
| SimpleQA Verified | 43.3% ↗ | 41% ↗epoch | +2.3 pt | Gemini 3.1 Flash-Lite |
| Only Gemini 3.1 Flash-Lite reports · 5 | ||||
| Humanity's Last Exam (no tools) | 16% ↗ | not reported | — | — |
| LiveCodeBench | 72% ↗ | not reported | — | — |
| MMMLU | 88.9% ↗ | not reported | — | — |
| MMMU-Pro | 76.8% ↗ | not reported | — | — |
| MRCR v2 (128k average) | 60.1% ↗ | not reported | — | — |
| Only GPT-5.6 Luna reports · 3 | ||||
| DeepSWE v1.1 | not reported | 67.2% ↗ | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 61% ↗epoch | — | — |
| SWE-Bench Pro | not reported | 62.7% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Gemini 3.1 Flash-Lite minus GPT-5.6 Luna in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Gemini 3.1 Flash-Lite | GPT-5.6 Luna | Edge |
|---|---|---|---|
| Context window | 1.0M tokens | 1.1M tokens | GPT-5.6 Luna |
| Max output | 66K tokens | 128K tokens | GPT-5.6 Luna |
| Input price / 1M | $0.25 ↗ | $0.2 ↗ | GPT-5.6 Luna |
| Output price / 1M | $1.5 ↗ | $1.2 ↗ | GPT-5.6 Luna |
| Cached input / 1M | $0.025 ↗ | $0.02 ↗ | GPT-5.6 Luna |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $1.75 | $1.4 | GPT-5.6 Luna |
| Modalities | text · vision · audio | text · vision | Gemini 3.1 Flash-Lite |
| Released | 2026-03-03 | 2026-07-09 | — |
| Cited benchmark scores | 10 | 8 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Gemini 3.1 Flash-Lite vs …
Models sharing the most benchmarksMore matchups
GPT-5.6 Luna vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Gemini 3.1 Flash-Lite and GPT-5.6 Luna on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.