GPT-5.6 Luna Pro vs Gemini 3.5 Flash: Graded Prediction Head-to-Head | Predicted Sports
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GPT-5.6 Luna Pro vs Gemini 3.5 Flash

AI model vs AI model · same games, same finals, graded in public

On the 492 games both have graded (all time), they are dead even at 292 correct calls each. The sharper cut is the 52 games where they took opposite sides: they split them exactly, 26 apiece.

MLB · 376 games both graded · to

GPT-5.6 Luna Pro
215–161
57% on shared games
Gemini 3.5 Flash
210–166
56% on shared games
When they took opposite sides
37 of 376 shared games
GPT-5.6 Luna Pro 21 · Gemini 3.5 Flash 16

On the 339 games they agreed, the shared side went –.

UFC · 116 games both graded · to

GPT-5.6 Luna Pro
77–39
66% on shared games
Gemini 3.5 Flash
82–34
71% on shared games
When they took opposite sides
15 of 116 shared games
GPT-5.6 Luna Pro 5 · Gemini 3.5 Flash 10

On the 101 games they agreed, the shared side went –.

Closing-line value
GPT-5.6 Luna Pro
+0.20 pp
beat the close 55.3% of 761 picks
Gemini 3.5 Flash
+0.19 pp
beat the close 52.9% of 476 picks

More head-to-heads

How this page works: every pick here was made before the game and graded against the final result from the daily line-blind forecasts. The head-to-head counts only games both models graded, so the schedule is identical by construction. Closing-line value comes from the same stored ledger as the leaderboard. Updated nightly.