GPT-6.1 Terra trails Gemini 4 Argon on APEX-Agents consulting tasks
Mercor's APEX-Agents leaderboard shows GPT-6.1 Terra at 80.9% Pass@1 in management consulting, still below Gemini 4 Argon's 88.4%, at $0.19 per task.
GPT-6.1 Terra is OpenAI’s #1 model on APEX-Agents. 68.3% Pass@1 (#6) 79.3% mean score (#6) Compared to last generation GPT-5.6 Terra, the new model gains 10.1 points on Pass@1. Management consulting: 80.9% Pass@1 (#2) Investment banking: 66.2% Pass@1 (#7) Corporate law: 57.7% Pass@1 (#39) The model is strongest on management consulting tasks, ranking second overall, behind Gemini 4 Argon (88.4%). Against GPT-5.6 Terra, it gains 24.7 points in consulting and 10.9 in banking. Law goes the other way, down 5.4 points from GPT-5.6 Terra. GPT-6.1 Terra still averages 80.6% of rubric criteria on law tasks, but fully completes only 57.7% of them. It gets most of the way and misses the last requirements. Across 4 runs per task, GPT-6.1 Terra passed 134 of 240 tasks every time and 187 at least once. 22 tasks it never scored on, 14 of them in investment banking. GPT-6.1 Terra’s strength comes from reading more than its siblings: 735k input tokens per attempt, vs 497k for GPT-6 Astra and 489k for GPT-6.1 Sol. Despite reading more, it costs less. GPT-6.1 Terra: $0.19 per task ($1/$5 per 1M tokens) GPT-6.1 Sol: $0.26 GPT-6 Astra: $1.30 It’s also a fast model. The median attempt finishes 1.2x faster than GPT-6 Astra and on par with GPT-6.1 Sol. Congrats @OpenAI on the launch. See full leaderboard: https://www.mercor.com/apex/apex-agents-leaderboard/