The code for Covenant-72B is fully open-source on GitHub, and the model weights are available on Hugging Face. This allows engineers to fork and utilize the resources immediately, which is relevant for those looking to build on existing AI infrastructure.
Sam Dare can take his team and walk.
He can’t take what actually made Covenant-72B possible.
The code? Fully open-source. Templar repo on GitHub (MIT license) — anyone can fork it today.
Covenant-72B weights? Apache 2.0 on Hugging Face. Download it right now.
But the
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This tweet presents a cost comparison of various AI coding models, highlighting the performance and pricing of open-source versus proprietary options. Senior engineers should care about these metrics as they reflect the competitive landscape and cost-effectiveness of AI solutions for coding tasks.
This chart should scare every AI company charging premium prices for coding models.
SWE-rebench, resolved vs average cost per instance:
→ MiniMax M2.5 (open source): 75.8% resolved at ~$0.05 per task
→ Claude Opus 4.6: 75.6% at ~$0.35 per task
→ Claude 4.5 Opus: 76.8% at