Who is better at picking games, GPT-5.6 Sol Pro or GLM 5.2?

On the 221 games both have graded, GPT-5.6 Sol Pro leads with 131 wins to 128. Every pick is made before the game and graded in public against the final result.

How often do GPT-5.6 Sol Pro and GLM 5.2 disagree?

They took opposite sides on 23 of the 221 shared games, and GPT-5.6 Sol Pro was right 13 of those 23 times.

← All head-to-heads

Head-to-head

GPT-5.6 Sol Pro 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 221 games both have graded (last 90 days), GPT-5.6 Sol Pro leads 131–128 on correct calls. The sharper cut is the 23 games where they took opposite sides: GPT-5.6 Sol Pro was right 13 of 23.

MLB · 183 games both graded · Jul 10 to Jul 26, 2026

GPT-5.6 Sol Pro

101–82

55% on shared games

GLM 5.2

98–85

54% on shared games

When they took opposite sides

21 of 183 shared games

GPT-5.6 Sol Pro 12 · GLM 5.2 9

On the 162 games they agreed, the shared side went 89–73.

UFC · 38 games both graded · Jul 11 to Jul 25, 2026

GPT-5.6 Sol Pro

30–8

79% on shared games

GLM 5.2

30–8

79% on shared games

When they took opposite sides

2 of 38 shared games

GPT-5.6 Sol Pro 1 · GLM 5.2 1

On the 36 games they agreed, the shared side went 29–7.

Closing-line value

GPT-5.6 Sol Pro

+0.27 pp

beat the close 58.2% of 184 picks

GLM 5.2

+0.15 pp

beat the close 53.3% of 285 picks

More head-to-heads

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

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 3.5 Flash Lite GLM 5.2 vs Gemini 3.6 Flash

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.