Who is better at picking games, Gemini 3.5 Flash or GLM 5.2?

On the 541 games both have graded, Gemini 3.5 Flash leads with 322 wins to 317. Every pick is made before the game and graded in public against the final result.

How often do Gemini 3.5 Flash and GLM 5.2 disagree?

They took opposite sides on 51 of the 541 shared games, and Gemini 3.5 Flash was right 28 of those 51 times.

← All head-to-heads

Head-to-head

Gemini 3.5 Flash vs GLM 5.2

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

All time Last 30 days Last 90 days

On the 541 games both have graded (all time), Gemini 3.5 Flash leads 322–317 on correct calls. The sharper cut is the 51 games where they took opposite sides: Gemini 3.5 Flash was right 28 of 51.

MLB · 477 games both graded · Jul 2 to Aug 9, 2026

Gemini 3.5 Flash

268–209

56% on shared games

GLM 5.2

268–209

56% on shared games

When they took opposite sides

46 of 477 shared games

Gemini 3.5 Flash 23 · GLM 5.2 23

On the 431 games they agreed, the shared side went 245–186.

UFC · 64 games both graded · Jul 11 to Aug 8, 2026

Gemini 3.5 Flash

54–10

84% on shared games

GLM 5.2

49–15

77% on shared games

When they took opposite sides

5 of 64 shared games

Gemini 3.5 Flash 5 · GLM 5.2 0

On the 59 games they agreed, the shared side went 49–10.

Closing-line value

Gemini 3.5 Flash

+0.19 pp

beat the close 52.9% of 476 picks

GLM 5.2

+0.22 pp

beat the close 54.1% of 516 picks

More head-to-heads

Gemini 3.5 Flash vs Claude Opus 4.8 Gemini 3.5 Flash vs Grok 4.5 Gemini 3.5 Flash vs DeepSeek V4 Pro Gemini 3.5 Flash vs Claude Sonnet 5 Gemini 3.5 Flash vs GPT-5.6 Luna Pro Gemini 3.5 Flash vs Gemini 3.6 Flash Gemini 3.5 Flash vs Kimi K3 Gemini 3.5 Flash vs CBS Sports Staff

GLM 5.2 vs Claude Opus 4.8 GLM 5.2 vs Grok 4.5 GLM 5.2 vs DeepSeek V4 Pro GLM 5.2 vs Claude Sonnet 5 GLM 5.2 vs GPT-5.6 Luna Pro GLM 5.2 vs Gemini 3.6 Flash GLM 5.2 vs Kimi K3 GLM 5.2 vs CBS Sports Staff

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