DeepSeek vs ChatGPT: Head-to-Head Tests on DeepSeek V4.1 and GPT-6

A comparison of DeepSeek V4.1 Flash 1017 and ChatGPT’s GPT-6 Sol argues that older model comparisons are outdated and reports that both current systems completed five everyday coding, math, writing, document-extraction, and image-reading prompts correctly, though GPT-6 Sol used substantially fewer output tokens and was slightly more consistently fast. The comparison describes DeepSeek as a free, text-focused chat app with MIT-licensed open weights, native image input, self-hosting potential, lower API prices, and a policy stating that app data is processed and stored in China, while ChatGPT offers subscription tiers, multimodal features including image generation and voice, memory, and agent capabilities but does not provide open weights for its main chat models. It notes that benchmark data may favor OpenAI’s paid models overall, while the small practical test found no quality difference for routine tasks, and it presents Claude as another closed-model option oriented toward long-running coding agents. The suggested choice depends primarily on cost, openness, feature requirements, token efficiency, and organizational privacy policies rather than on a clear accuracy advantage in the tested tasks.

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