.eval_results/open_agent_leaderboard_openai_gcp_gemini-3-pro-preview.yaml

- dataset:
    id: open-agent-leaderboard/results
    task_id: overall
  value: 0.61
  source:
    url: https://www.exgentic.ai
    name: Open Agent Leaderboard
  notes: 'model: Gemini 3 Pro'
- dataset:
    id: open-agent-leaderboard/results
    task_id: appworld
  value: 0.5
  source:
    url: https://www.exgentic.ai
    name: Open Agent Leaderboard
  notes: 'model: Gemini 3 Pro'
- dataset:
    id: open-agent-leaderboard/results
    task_id: browsecomp_plus
  value: 0.48
  source:
    url: https://www.exgentic.ai
    name: Open Agent Leaderboard
  notes: 'model: Gemini 3 Pro'
- dataset:
    id: open-agent-leaderboard/results
    task_id: swebench
  value: 0.71
  source:
    url: https://www.exgentic.ai
    name: Open Agent Leaderboard
  notes: 'model: Gemini 3 Pro'
- dataset:
    id: open-agent-leaderboard/results
    task_id: taubench_airline
  value: 0.7
  source:
    url: https://www.exgentic.ai
    name: Open Agent Leaderboard
  notes: 'model: Gemini 3 Pro'
- dataset:
    id: open-agent-leaderboard/results
    task_id: taubench_retail
  value: 0.82
  source:
    url: https://www.exgentic.ai
    name: Open Agent Leaderboard
  notes: 'model: Gemini 3 Pro'
- dataset:
    id: open-agent-leaderboard/results
    task_id: taubench_telecom
  value: 0.73
  source:
    url: https://www.exgentic.ai
    name: Open Agent Leaderboard
  notes: 'model: Gemini 3 Pro'