Bootcamp Grad Tests 10 AI Coding Models to Find Best Value for Developers

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A recent coding bootcamp graduate spent two weeks testing ten AI coding models on five real-world tasks, including bug fixes, algorithm implementation, and API development. Each model was scored out of 10 based on code correctness, readability, explanation quality, and edge-case handling. The experiment revealed wide pricing variation, with costs ranging from $0.20 to $3.00 per million output tokens across providers including DeepSeek, Qwen, Moonshot, and Tencent. Qwen3-Coder-30B topped the rankings with a score of 8.8 at just $0.35 per million tokens, while DeepSeek V4 Flash scored 8.7 at $0.25, delivering the highest value-for-money ratio. The informal study aimed to help budget-conscious developers cut through marketing noise and make practical model choices without overspending.

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