An open-source coding agent named AgenC Core achieved an 84.5% score on the Terminal-Bench 2.1 benchmark using the DeepSeek V4.1 Flash model. This run was notably cost-effective, with inference costs totaling $27 for 445 trials, significantly less than other leaderboard entries. The agent's performance is detailed on Harbor Hub, though it is not an official leaderboard submission due to community submissions being closed. AI
IMPACT Demonstrates a cost-effective method for achieving high performance on agent benchmarks, potentially influencing future development and evaluation strategies.
RANK_REASON The cluster details a specific benchmark result for an open-source agent and model combination, rather than a new model release from a frontier lab.
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