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

On the 216 games both have graded, GLM 5.2 leads with 131 wins to 122. Every pick is made before the game and graded in public against the final result.

How often do Gemini 3.5 Flash Lite and GLM 5.2 disagree?

They took opposite sides on 19 of the 216 shared games, and GLM 5.2 was right 14 of those 19 times.

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Head-to-head

Gemini 3.5 Flash Lite 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 216 games both have graded (all time), GLM 5.2 leads 131–122 on correct calls. The sharper cut is the 19 games where they took opposite sides: GLM 5.2 was right 14 of 19.

MLB · 190 games both graded · Jul 24 to Aug 6, 2026

Gemini 3.5 Flash Lite

107–83

56% on shared games

GLM 5.2

113–77

59% on shared games

When they took opposite sides

16 of 190 shared games

Gemini 3.5 Flash Lite 5 · GLM 5.2 11

On the 174 games they agreed, the shared side went 102–72.

UFC · 26 games both graded · Jul 25 to Aug 1, 2026

Gemini 3.5 Flash Lite

15–11

58% on shared games

GLM 5.2

18–8

69% on shared games

When they took opposite sides

3 of 26 shared games

Gemini 3.5 Flash Lite 0 · GLM 5.2 3

On the 23 games they agreed, the shared side went 15–8.

Closing-line value

Gemini 3.5 Flash Lite

+0.33 pp

beat the close 55.3% of 190 picks

GLM 5.2

+0.25 pp

beat the close 54.3% of 431 picks

More head-to-heads

Gemini 3.5 Flash Lite vs Claude Opus 4.8 Gemini 3.5 Flash Lite vs Gemini 3.5 Flash Gemini 3.5 Flash Lite vs Grok 4.5 Gemini 3.5 Flash Lite vs DeepSeek V4 Pro Gemini 3.5 Flash Lite vs Claude Sonnet 5 Gemini 3.5 Flash Lite vs GPT-5.6 Luna Pro Gemini 3.5 Flash Lite vs Gemini 3.6 Flash Gemini 3.5 Flash Lite vs Claude Opus 5

GLM 5.2 vs Claude Opus 4.8 GLM 5.2 vs Gemini 3.5 Flash 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 Claude Opus 5

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.