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  "text": "we challenged Claude Code and Codex to fine-tune an open source LLM. Claude Code won by surpassing the base model score on its fourth run in 138k tokens.\n\nWe gave both agents the same task:\n\n- Fine-tune Qwen3-0.6B on OpenR1/codeforces-cot\n- Beat the base model on HumanEval\n- 5 jobs max, unlimited compute and tokens\n\nThe results:\n- Claude Code matched the base model score a few times and eventually beat it.\n- Codex struggled to get jobs to start at first and under-trained a few models. It wasn’t able to surpass the base model’s score.\n- In general, Claude was better at consuming tokens before starting jobs and maximising its context by ingesting the most amount of information from the skill.",
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