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Reproducing a coding benchmark with Harbor and Terminal Bench 2.1

blog.john-pfeiffer.com · published 22 July 2026

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https://proceedings.neurips.cc/paper_files/paper/2024/hash/5a7c947568c1b1328ccc5230172e1e7c-Abstract-Conference.html
proceedings.neurips.cc
https://arxiv.org/html/2601.11868v1
arxiv.org
https://openrouter.ai/collections/free-models
openrouter.ai
https://www.tbench.ai/benchmarks/terminal-bench-2/regex-log
tbench.ai
https://github.com/harbor-framework/terminal-bench-2-1/tree/main/tasks/regex-log
github.com
https://cohere.com/blog/north-mini-code
cohere.com
https://en.wikipedia.org/wiki/Cohere
en.wikipedia.org
https://openrouter.ai/cohere/north-mini-code:free
openrouter.ai
https://github.com/SWE-agent/mini-swe-agent
github.com
https://research.nvidia.com/labs/nemotron/Nemotron-3-Ultra/
research.nvidia.com
https://www.harborframework.com/docs/agents/terminus-2
harborframework.com
https://openrouter.zendesk.com/hc/en-us/articles/39501163636379-OpenRouter-Rate-Limits-What-You-Need-to-Know
openrouter.zendesk.com
https://openrouter.ai/google/gemma-4-31b-it:free
openrouter.ai
https://github.com/harbor-framework/terminal-bench-2-1
github.com
https://github.com/harbor-framework/harbor
github.com
https://www.harborframework.com/docs/tasks
harborframework.com
https://docs.nvidia.com/nemo-platform/documentation/evaluate-models/agent-eval/harbor-runner
docs.nvidia.com
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