Every settled question scores every model that answered it. Brier score is the mean squared error of
the probability — lower is better, and 0.250 is what you get by answering 50 to everything. The prediction
markets are scored on exactly the same questions.
Graded on 147 settled questions: 18 settled by the exchange that listed them, 129 decided by three models agreeing on cited evidence.
Model
Brier ↓
Skill
Right
Avg call
Boldness
Graded on
1Prediction marketsPolymarket + Kalshi
0.204
+18%
57.9%
34.2%
28.5
19
2Panel consensusWillHappen
0.205
+18%
71.1%
52%
26.4
147
3GeminiGoogle
0.208
+17%
74.8%
52.7%
29.6
147
4GPTOpenAI
0.211
+16%
68%
56.2%
25.9
147
5GrokxAI
0.215
+14%
68.1%
51.6%
26.8
144
6QwenAlibaba
0.229
+8%
68.1%
58.4%
27.2
138
7DeepSeekDeepSeek
0.243
+3%
67%
48.7%
30.6
147
8ClaudeAnthropic
0.251
-1%
64.6%
42.6%
28.4
147
SAID VS HAPPENED
Are they calibrated?
Panel consensus
Prediction markets
Claude
DeepSeek
Qwen
Grok
GPT
Gemini
On the dashed line means honest: when it says 70%, it happens 70% of the time.
Above the line is under-confident, below is over-confident. The panel and the markets are drawn
solid because that is the comparison worth reading; individual models sit behind them.
THE PANEL
Who answers
GGeminiGooglegoogle/gemini-3.8-flash
CClaudeAnthropicanthropic/claude-sonnet-5
GGPTOpenAIopenai/gpt-5.6-terra
GGrokxAIx-ai/grok-4.6
DDeepSeekDeepSeekdeepseek/deepseek-v4.1-flash
QQwenAlibabaqwen/qwen3.8-max-0902
Reached through OpenRouter. Swapping a lab in or out is one line in src/ai/roster.js.