| rank,model,model_id,organisation,effort,date_run,tasks_scored,macro_mean,macro_ci_low,macro_ci_high,campaign_mean,evidence_mean,envelope_mean,calibration_mse,cost_usd,cost_per_task_usd,output_tokens | |
| 1,GPT-6 Astra,gpt-6-astra,OpenAI,high,2026-11-11,228,0.7103,0.6512,0.7731,0.71,0.65,0.7708,0.1961,165.7816,0.7271,3154006 | |
| 2,GPT-6.1 Sol,gpt-6.1-sol,OpenAI,high,2026-11-10,228,0.6892,0.6235,0.7474,0.68,0.6375,0.75,0.2146,33.5205,0.147,3190423 | |
| 3,Claude Opus 5.5,claude-opus-5-5,Anthropic,high,2026-11-10,228,0.6411,0.5808,0.7008,0.59,0.5625,0.7708,0.23,97.1336,0.426,4552578 | |
| 4,GPT-6.1 Terra,gpt-6.1-terra,OpenAI,high,2026-11-10,228,0.5883,0.5269,0.6566,0.49,0.5875,0.6875,0.2163,8.2024,0.036,1477051 | |
| 5,Muse Spark 1.3,muse-spark-1.3,Meta,high,2026-11-10,228,0.5503,0.4916,0.6139,0.43,0.45,0.7708,0.2962,42.2934,0.1855,9706712 | |
| 6,Claude Sonnet 5.5,claude-sonnet-5-5,Anthropic,high,2026-11-10,228,0.5175,0.4598,0.5789,0.54,0.2625,0.75,0.2541,127.4179,0.5589,9170332 | |
| 7,Mistral Large 4,mistral-large-4-0,Mistral AI,high,2026-11-11,228,0.5028,0.4404,0.5719,0.35,0.45,0.7083,0.3523,30.5366,0.1339,12589545 | |
| 8,DeepSeek V4.1 Flash,deepseek-flash,DeepSeek,high,2026-11-10,228,0.4486,0.3843,0.5184,0.35,0.4125,0.5833,0.3607,11.8177,0.0518,9643560 | |
| 9,Claude Haiku 5.5,claude-haiku-5-5,Anthropic,high,2026-11-10,228,0.3756,0.31,0.4406,0.26,0.325,0.5417,0.2114,5.9088,0.0259,11489868 | |
| 10,GPT-6 Luna,gpt-6-luna,OpenAI,high,2026-11-10,228,0.3628,0.3004,0.4289,0.18,0.3875,0.5208,0.3499,1.6263,0.0071,3089024 | |
| 11,Qwen3.5-9B + GRPO on 25% of train,qwen9b-grpo-25pct,Gradient Dynamics,"thinking on, temperature 0.6",2026-11-10,228,0.0783,0.0421,0.1203,0.01,0.1,0.125,0.7391,,,4980315 | |
| 12,Qwen3.5-9B,qwen9b,Qwen (open weights),"thinking on, temperature 0.6",2026-11-09,228,0.0589,0.0271,0.0973,0.01,0.0625,0.1042,0.7472,,,5097629 | |